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Location: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Motion & AI Video Designer (Via, Remix, Citymapper) , you’ll bring our brands and products to life through bold videos and motion graphics moving people’s hearts and minds. This role is based in New York City and reports directly to the Creative Director of our in-house studio. The studio is responsible for elevating Via, Citymapper and Remix brands, and delivering communications to our riders, commercial partners and investors across all channels. We care about the quality of your output and your ability to create with AI-native workflows, regardless of your years of formal experience. Candidates of all levels are welcome to apply. Join us to design the future of transportation and take the brand to the next level. What You'll Do: Turn information into stories: Lead high-stakes projects, transforming complex information into clear, impactful motion narratives that drive outcomes for B2G or B2C audiences. Create Via’s first Motion Design System: Document and build a comprehensive library of motion patterns and kinetic behaviors that scale across our marketing and product touchpoints. Establish AI-native workflows: Use AI to elevate our creativity, scale our output and reduce production cycles. Bring interactive products to life: Bridge the gap between marketing and product by designing delightful micro-interactions and UX motion. Implement animations natively using tools like Lottie or Rive. Cross-functional collaboration: Work with stakeholders (marketing, business, product) to manage and execute projects internally, or with video production partners. Mentorship and development: Support creative peers so they develop their understanding of motion and AI craft to elevate the entire design organization. Who You Are: A world-class motion and video designer with a portfolio demonstrating exceptional talent, regardless of your years of formal experience. You understand foundational animation principles (timing, physics, easing, weight). An expert in translating complex technical concepts (i.e., data science visualizations, technical product infrastructure flows, process optimization algorithms) into intuitive and impactful motion graphics. A big-picture thinker who can seamlessly move between high-level conceptualization and pixel-perfect execution, under tight deadlines. An expert at generative AI motion and keep refining your Claude / Gemini set-up. You know which model to pick to get the best out of a project (Nano Banana, Runway, Kling, Seedance). You have experimented with node-based generative workflow (ComfyUI, Krea.ai , Weave) and understand the best creative workflow for a given project. Proficient with After Effects and the Creative Suite, and interaction design tools like Rive. Understanding of 3d softwares like Cinema 4D/Blender is welcome. What Catches Our Eye: A great reel: We care about the quality of the output, not the number of years on your resume. Great stories: Move hearts & minds. AI workflows: We look for examples or case studies showing how you've integrated AI tools into a professional pipeline to drastically reduce production time while increasing visual impact. Systems over standalones: Evidence of having built and documented comprehensive Motion Design Systems. Motion into Interaction design: Real-world examples of your motion work living natively inside a digital product or app. An obsession with the details: An uncompromising eye for the invisible elements of motion: perfect easing curves, realistic physics, rhythmic timing, and weight. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $85,000 - $160,000 per year We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of world-class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: Relevance & recommendation systems (content, search, notifications) AI-powered discovery & LLM-driven experiences Content and user understanding & large-scale representation learning Large-scale ML infrastructure and pipelines What You’ll Do Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities Drive measurable impact on user engagement, discovery, and long-term value Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at the cutting edge Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing Set technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making Required Qualifications 7+ years of experience building, deploying, and operating machine learning systems in production Deep understanding of machine learning methods, spanning classical approaches and modern deep learning (e.g., Transformers, GNN, etc) Expert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang Experience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions Track record of driving measurable impact through applied machine learning in real-world products Preferred Qualifications Subject matter expertise in one of the following domains: Recommender systems Search systems (lexical and semantic retrieval and ranking) Content understanding (NLU/NLP/LLM, topic/taxonomy modeling, interest graphs or clustering, and multimodal understanding) Familiarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Experience with LLM/GenAI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Strong experimentation rigor, with experience formulating clear hypotheses, designing actionable learning plans and building offline/online correlations Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Home Experience ML Understanding Feed Relevance Answer Experience Search and Answers Relevance Search Experience Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Sydney Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU'LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: New York About Interbrand Interbrand understands what it takes today to build the world’s most iconic brands. To support our clients in an ever more complex and fascinating world, we have renewed our commitment to both common global standards and greater empowerment, experimentation and entrepreneurialism. Interbrand is its people. We are a global team of highly diverse thinkers, makers and collaborators. We are proud of our heritage and often regarded as the university of branding. Over the past four decades, we have pioneered iconic work and invented many of the brand building tools that are now commonplace. In collaboration with many of the world’s leading brands, we are pioneering the future of brand building. In a world where people’s expectations are moving faster than businesses, we give our clients the confidence to make Iconic Moves that create desire and utility, reshape the competitive landscape and drive extraordinary results. The Interbrand Best Global Brands study/rankings are resources to our clients and the industry, providing proprietary data and insight for our role as client partner and commentator. We have published 18 books on brands and are often the reference point for university curriculum and professional associations. Today, through our own Academy, we aim to be the most impactful learning environment in the marketing world. Our Behaviours Our culture is informed by a set of behaviours we co-created as a business. Our behaviours give us space to experiment, permission to speak out, and a model of leadership that anyone in the business can adopt. Our behaviours are Lead with love, Be Brave, Listen First and Make it happen. We are proud of our behaviours. They make us, us. The opportunity You're a strategist who turns complexity into clarity and insight into action. You see the signal in the noise, ask better questions, and aren't afraid to challenge the brief. At Interbrand, you'll work across teams on brand, business, and experience projects for some of the world's most ambitious organizations. You’ll be exposed to clients in market, presenting powerful ideas to strengthen relationships and mentor junior members of the team to ensure we nurture the future talent. You'll bring ideas, challenge assumptions, and execute your work to the highest standard, contributing thinking to make iconic work and elevate brands. What you'll be doing Apply Interbrand's Thinking & Making approach and Three Lenses (Human Truth, Brand Economics, Experience) to solve client challenges and build strategies that connect across disciplines Bring in Arenas thinking and Three Lenses frameworks to diagnose what matters most and shape strategies that unlock growth Contribute to strategy projects, doing the deep work, synthesizing research, data, and insights into clear narratives and recommendations Diagnose and reframe client challenges, spot opportunities others miss, and bring a point of view that shifts the conversation Craft sharp, persuasive presentations and deliver them with confidence to client stakeholders Travel to client site building rapport, trust and signaling true partnership Collaborate seamlessly with creative, client service, and analytics teams to deliver integrated solutions Host internal work sessions to boost ideation across departments and practice facilitation skills Mentor junior strategists working hands on to show them our frameworks, provide thoughtful feedback, and help raise the quality of thinking across the team Track category innovation and cultural shifts Collate, filter and present market cultural knowledge, trends and innovations as a monthly email bulletin or newsletter to clients Balance multiple projects, meet deadlines, manage budgets, and ensure client satisfaction Be part of our rich and active internal sharing forums for inspiration and innovation What we're looking for Experience You've worked on complex challenges and know how to navigate ambiguity either in agencies or within consultancies. Strategic thinking You synthesize information, research, data, trends and turn it into frameworks and narratives that guide decision-making. You're comfortable leading research, facilitating workshops, and building strategies from scratch. Communication You write clearly and persuasively. You present confidently. You adapt your style to different audiences. Collaboration You thrive working with people from different disciplines and cultures. You know when to lead, when to listen, and how to bring out the best in others. Independence and ownership You take initiative, manage your time, and deliver high-quality work even when juggling multiple priorities. Curiosity You stay sharp by reading, learning, and paying attention to the world around you. Comp: $100,00-$125,000 Why Interbrand For over 50 years, we've been shaping the world's most iconic brands. We solve brand challenges through our Thinking & Making approach, combining Human Truth, Brand Economics, and Experience to help our clients make the moves that unlock growth and define what's next. We nurture a global community of thinkers and makers with the curiosity and confidence to create iconic work. Here, you'll find transparent career pathways, on-demand learning, honest feedback, real collaboration across borders, and a culture that champions difference and wellbeing. We don't do ordinary. And we don't expect you to either. We are working through access barriers across our job site, so if you run into any issues and would like this information in an alternative format, or would prefer to apply via email, please send us a message at careers@interbrand.com.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations New York, NY Washington, DC San Francisco, CA About the Role Cloudflare’s architecture is built on a homogeneous edge: every server in over 330 cities runs every service—from L4/L7 proxies (FL2, Pingora) and DNS to the Workers runtime, cache, and storage. While this design maximizes hardware utilization, it creates a difficult distributed attribution problem. Machine-level telemetry tells us how loaded a server is, but not which product, customer, or upstream service is responsible for that load. MAPS (Metrics and Analytics for Product Segmentation) is a newly formed team building the core instrumentation, collection, and data platform to solve this from the ground up. We are architecting a system to continuously measure CPU, network bandwidth, memory, and storage utilization across the entire global fleet without sampling—attributing resource consumption both to the underlying system service and to the specific product, account, and zone being served. The data MAPS produces serves two critical functions at Cloudflare: Real-Time Control Plane: MAPS is the primary telemetry input for Cloudflare’s next-generation global load balancer, shifting traffic management from open-loop heuristics to closed-loop routing driven by real-time, per-service resource capacity and consumption (within seconds). Fleet Economics & Capacity Planning: MAPS provides the long-term analytical dataset in ClickHouse used to map product demand forecasts to physical hardware requirements, calculate true cost-to-serve per product, and drive multi-year infrastructure investments. What You’ll Do You will work across the full lifecycle of a greenfield, high-throughput telemetry system running on every machine at the Cloudflare edge: Host-Level Instrumentation ("Outside View"): Build and maintain low-overhead Linux daemons (netacctd, maps_collector) in Rust and C that use eBPF (cgroup_skb) and cgroup v2 accounting to measure per-service resource consumption directly from the kernel. High-Performance Client Libraries ("Inside View"): Architect non-blocking, zero-allocation reporting SDKs in Rust and Go used by Cloudflare’s highest-throughput data-plane services to report per-request resource usage and product attribution over local Unix domain sockets. Edge Aggregation & Streaming: Build the per-machine collector daemon that ingests millions of events per second, performs bounded in-memory time-window aggregation, serves low-latency gRPC streams to the global load balancer, and flushes batch rollups to ClickHouse. Reconciliation & Correctness: Solve complex attribution problems—such as reconciling kernel-level cgroup measurements against application-reported metrics, and attributing resource usage when one multi-tenant service executes work on behalf of another. Cross-Team Architecture: Partner directly with the engineering teams behind Cloudflare’s core proxies, runtimes, and storage engines to instrument their critical paths without degrading tail latency. What We’re Looking For Strong systems programming experience in Rust, Go, or C, with a solid grasp of memory layout, concurrency, and performance-critical code paths. Experience designing and operating latency- and resource-sensitive server infrastructure or high-throughput data pipelines at scale. Strong fundamentals in Linux systems internals—processes, cgroups, sockets, and how the kernel accounts for compute, memory, and I/O. Proven ability to work across organizational boundaries: reading unfamiliar codebases, aligning with other infrastructure teams, and driving complex integrations to completion. A pragmatic approach to owning outcomes—from kernel-level data collection and wire protocols (protobuf/Cap'n Proto) all the way to the analytical tables consumers query. Bonus Points Hands-on experience writing and verifying eBPF programs, or deep familiarity with the Linux networking stack and scheduler. Experience designing schemas and query patterns for distributed columnar databases (particularly ClickHouse) at high ingestion rates. Background in profiling, benchmarking, and debugging performance bottlenecks in production Linux environments (perf, PMU counters, flamegraphs). What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Georgia Huddle Up is a provider-founded and provider-led company that delivers high-quality, consistent care to school districts nationwide through team-based virtual and onsite IEP therapy and support. We have delivered over 1 million therapy sessions across speech, occupational, mental health, and school psychology, with 94% of our clients reporting high levels of student engagement under our providers' care. We believe in the importance of supporting the whole child, and supporting the whole provider, with connection and collaboration. We have a variety of tools and resources available to you that allows providers to communicate with fellow Huddle Up professionals and clinical managers. All of our clinical managers have vast experience in delivering school based teletherapy services, and they are available when needed. At Huddle Up, you’re part of a team that ensures students receive the best care possible. We are currently accepting applications for virtual Speech Language Pathologists (SLP) licensed in Georgia, for the 26/27 school year! What We Offer: Compensation for direct and indirect time Up to a $250 monthly incentive (up to $3,000 per year) Access to Company Sponsored Health insurance, Dental Insurance, Short-Term Disability Insurance, Long-Term Disability Insurance, and Life Insurance Access to wellness programs including- Peloton, EAP Support, Headspace, and Carrot Fertility Access to participate in our 401k after 6 months of employment Accrued sick time- one hour for every 30 hours, Caps at 48 hours Reimbursement for cross licensing Access to our proprietary platform Access to online assessments and tools Access to clinical and technical staff to ensure you are fully supported We match your schedule with the right opportunity What You’ll Do: Grow and invest in your skills, capabilities, and career, by delivering Speech Language Pathology services to school-based children across the nation, leveraging technology that includes proprietary tools to support and enable clinical care, in an environment that is flexible to your needs. Huddle up with school instructors and experienced clinical mentors to deliver outstanding Speech Language Pathology services to children in need Develop your skills, career, and expertise within a supportive team-based environment Provide telehealth services to a diverse population of school aged children Work on a flexible schedule designed to meet your needs Minimum Requirements: Able to commit to at least 15 hours per week and up to 40 hours per week Hold an active, unrestricted, and valid SLP license in your state of residence, and in Georgia in good standing Hold CCCs: Current ASHA Certificate of Clinical Competency Full-time resident of the United States School experience Experience and comfortability with the use of various types of technology Follow Huddle Up documentation guidelines for evaluation reports and daily SOAP notes Participate in IEP and team meetings, serve as a case manager or process coordinator Prepare progress reports as requested by the school and complete medicaid billing if necessary Compensation: This is a W2 employment opportunity. The exact compensation band is based on where the provider resides. Compensation for providers living in CA, HI, and NY is $44-$54 an hour; AK, CO, CT, DC, DE, IL, IN, MA, MD, NJ, NM, OH, PA, RI, TX, VA, and WA is $44-$54 an hour; AR, AZ, FL, GA, IA, KS, KY, MI, MN, MT, NC, NH, NV, OK, OR, SC, UT, WI, and WY is $44-$49 an hour; AL, ID, LA, ME, MO, MS, ND, NE, SD, TN, VT, and WV is $44-$47 an hour. This position also includes the opportunity to earn up to a $250 (up to $3,000 per year) monthly incentive for providers who work 60 hours or more in a pay period (approximately every 2 weeks) and meet other eligibility criteria. Exact hourly rate will ultimately depend on multiple factors, which may include the successful candidate’s skills, geographical location, and other qualifications. Applications are typically reviewed within 48 business hours after application submission; information about our interview process and application status updates will be sent to you via email, please be sure to check your spam and junk folders to ensure emails do not get lost. Huddle Up provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Huddle Up is also committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. Please contact Huddle Up’s Recruiting team if you need a reasonable accommodation or any assistance completing any forms or to otherwise participate in the application process.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations. WHAT YOU'LL DO - Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires. - Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures. - Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems. - Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data. - Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across regions and configurations. - Debug and harden systems: Dive deep into complex infrastructure problems spanning networking, authorization, Kubernetes, and cloud services to make our enterprise platform more robust and diagnosable. - Partner with go-to-market teams: Collaborate with Sales and Customer Success to understand enterprise infrastructure requirements, scope technical solutions, and unblock deployments. - Contribute to technical strategy: Help define SLAs/SLOs for enterprise infrastructure reliability; participate in build-vs-buy decisions for complex infrastructure capabilities. REQUIRED SKILLS AND EXPERIENCE - 7+ years of experience in Infrastructure Engineering, Platform Engineering, or similar roles. - Strong programming skills in Go, Typescript or Python; you write high-quality, well-tested code. - Experience with Kubernetes and cloud-native technologies in production environments. - Solid understanding of cloud networking: VPCs, peering, private connectivity, load balancers, DNS. - Experience with infrastructure as code (Terraform) and configuration management. - Familiarity with authentication and authorization systems: OAuth/OIDC, RBAC/ABAC models, policy enforcement. - Familiarity with security and encryption fundamentals: TLS, encryption at rest, key management concepts. - Strong debugging skills with an ability to trace issues across distributed systems. - Excellent written communication; you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders. NICE TO HAVE - Experience with Google Cloud Platform (GCP) services, networking, and IAM. - Experience building multi-tenant or single-tenant SaaS infrastructure. - Familiarity with enterprise compliance frameworks (SOC 2, FedRAMP, HIPAA) and how they translate to infrastructure requirements. - Experience with customer-managed encryption keys (CMEK/BYOK) implementations. - Background in developer platforms, cloud IDEs, or developer productivity products. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Maryland Huddle Up is a provider-founded and provider-led company that delivers high-quality, consistent care to school districts nationwide through team-based virtual and onsite IEP therapy and support. We have delivered over 1 million therapy sessions across speech, occupational, mental health, and school psychology, with 94% of our clients reporting high levels of student engagement under our providers' care. We believe in the importance of supporting the whole child, and supporting the whole provider, with connection and collaboration. We have a variety of tools and resources available to you that allows providers to communicate with fellow Huddle Up professionals and clinical managers. All of our clinical managers have vast experience in delivering school based teletherapy services, and they are available when needed. At Huddle Up, you’re part of a team that ensures students receive the best care possible. We are currently accepting applications for virtual Speech Language Pathologists (SLP) licensed in Maryland for the 26/27 school year! What We Offer: Compensation for direct and indirect time Up to a $250 monthly incentive (up to $3,000 per year) Access to Company Sponsored Health insurance, Dental Insurance, Short-Term Disability Insurance, Long-Term Disability Insurance, and Life Insurance Access to wellness programs including- Peloton, EAP Support, Headspace, and Carrot Fertility Access to participate in our 401k after 6 months of employment Accrued sick time- one hour for every 30 hours, Caps at 48 hours Reimbursement for cross licensing Access to our proprietary platform Access to online assessments and tools Access to clinical and technical staff to ensure you are fully supported We match your schedule with the right opportunity What You’ll Do: Grow and invest in your skills, capabilities, and career, by delivering Speech Language Pathology services to school-based children across the nation, leveraging technology that includes proprietary tools to support and enable clinical care, in an environment that is flexible to your needs. Huddle up with school instructors and experienced clinical mentors to deliver outstanding Speech Language Pathology services to children in need Develop your skills, career, and expertise within a supportive team-based environment Provide telehealth services to a diverse population of school aged children Work on a flexible schedule designed to meet your needs Minimum Requirements: Able to commit to at least 25 hours per week Hold an active, unrestricted, and valid SLP license in your state of residence, and Maryland, in good standing Hold CCCs: Current ASHA Certificate of Clinical Competency Full-time resident of the United States 1-3 years of School experience working directly with students in educational settings Demonstrated experience in case management and supporting high-needs caseloads Experience and comfortability with the use of various types of technology Follow Huddle Up documentation guidelines for evaluation reports and daily SOAP notes Participate in IEP and team meetings, serve as a case manager or process coordinator Prepare progress reports as requested by the school and complete medicaid billing if necessary Compensation: This is a W2 employment opportunity. The exact compensation band is based on where the provider resides. Compensation for providers living in CA, HI, and NY is $44-$54 an hour; AK, CO, CT, DC, DE, IL, IN, MA, MD, NJ, NM, OH, PA, RI, TX, VA, and WA is $44-$54 an hour; AR, AZ, FL, GA, IA, KS, KY, MI, MN, MT, NC, NH, NV, OK, OR, SC, UT, WI, and WY is $44-$49 an hour; AL, ID, LA, ME, MO, MS, ND, NE, SD, TN, VT, and WV is $44-$47 an hour. This position also includes the opportunity to earn up to a $250 (up to $3,000 per year) monthly incentive for providers who work 60 hours or more in a pay period (approximately every 2 weeks) and meet other eligibility criteria. Exact hourly rate will ultimately depend on multiple factors, which may include the successful candidate’s skills, geographical location, and other qualifications. Applications are typically reviewed within 48 business hours after application submission; information about our interview process and application status updates will be sent to you via email, please be sure to check your spam and junk folders to ensure emails do not get lost. Huddle Up provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Huddle Up is also committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. Please contact Huddle Up’s Recruiting team if you need a reasonable accommodation or any assistance completing any forms or to otherwise participate in the application process.

Location: Remote, Nationwide, USA Huddle Up is a provider-founded and provider-led company that delivers high-quality, consistent care to school districts nationwide through team-based virtual and onsite IEP therapy and support. We have delivered over 1 million therapy sessions across speech, occupational, mental health, and school psychology, with 94% of our clients reporting high levels of student engagement under our providers' care. We believe in the importance of supporting the whole child, and supporting the whole provider, with connection and collaboration. We have a variety of tools and resources available to you that allows providers to communicate with fellow Huddle Up professionals and clinical managers. All of our clinical managers have vast experience in delivering school based teletherapy services, and they are available when needed. At Huddle Up, you’re part of a team that ensures students receive the best care possible. We are currently accepting applications for virtual Speech Language Pathologists (SLP) licensed in the US, Nationwide, for the upcoming 26/27 school year! What We Offer: Compensation for direct and indirect time Up to a $250 monthly incentive (up to $3,000 per year) Access to Company Sponsored Health insurance, Dental Insurance, Short-Term Disability Insurance, Long-Term Disability Insurance, and Life Insurance Access to wellness programs including- Peloton, EAP Support, Headspace, and Carrot Fertility Access to participate in our 401k after 6 months of employment Accrued sick time- one hour for every 30 hours, Caps at 48 hours Malpractice insurance coverage to see our students Up front payment for cross licensing Access to our proprietary platform Access to online assessments and tools Access to clinical and technical staff to ensure you are fully supported We match your schedule with the right opportunity What You’ll Do: Grow and invest in your skills, capabilities, and career, by delivering Speech Language Pathology services to school-based children across the nation, leveraging technology that includes proprietary tools to support and enable clinical care, in an environment that is flexible to your needs. Huddle up with school instructors and experienced clinical mentors to deliver outstanding Speech Language Pathology services to children in need Develop your skills, career, and expertise within a supportive team-based environment Provide telehealth services to a diverse population of school aged children Work on a flexible schedule designed to meet your needs Minimum Requirements: Able to commit to at least 20 hours per week and up to 40 hours per week Hold an active, unrestricted, and valid SLP license in your state of residence, in good standing Hold CCCs: Current ASHA Certificate of Clinical Competency Full-time resident of the United States School experience Experience conducting virtual sessions Experience and comfortability with the use of various types of technology Follow Huddle Up documentation guidelines for evaluation reports and daily SOAP notes Participate in IEP and team meetings, serve as a case manager or process coordinator Prepare progress reports as requested by the school and complete medicaid billing if necessary Access to a laptop (not chromebook) to conduct sessions virtually Compensation: This is a W2 employment opportunity. The exact compensation band is based on where the provider resides. Compensation for providers living in CA, HI, and NY is $44-$54 an hour; AK, CO, CT, DC, DE, IL, IN, MA, MD, NJ, NM, OH, PA, RI, TX, VA, and WA is $44-$54 an hour; AR, AZ, FL, GA, IA, KS, KY, MI, MN, MT, NC, NH, NV, OK, OR, SC, UT, WI, and WY is $44-$49 an hour; AL, ID, LA, ME, MO, MS, ND, NE, SD, TN, VT, and WV is $44-$47 an hour. This position also includes the opportunity to earn up to a $250 (up to $3,000 per year) monthly incentive for providers who work 60 hours or more in a pay period (approximately every 2 weeks) and meet other eligibility criteria. Exact hourly rate will ultimately depend on multiple factors, which may include the successful candidate’s skills, geographical location, and other qualifications. Applications are typically reviewed within 48 business hours after application submission; information about our interview process and application status updates will be sent to you via email, please be sure to check your spam and junk folders to ensure emails do not get lost. Huddle Up provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Huddle Up is also committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. Please contact Huddle Up’s Recruiting team if you need a reasonable accommodation or any assistance completing any forms or to otherwise participate in the application process.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Sr. Solutions Engineer, you will act as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on Nebius. You will bridge customer requirements with internal engineering capabilities, ensuring successful deployment, stable operations, and ongoing optimization of complex, high-performance environments. Your responsibilities will include: Acting as the main technical interface for customers running workloads on Nebius GPU infrastructure. Supporting customers in deploying, configuring, and tuning GPU-based environments for performance and reliability. Investigating and resolving complex issues spanning hardware, networking, operating systems, and cluster-level behavior. Partnering with internal teams (data center operations, networking, platform engineering) to coordinate and drive resolution of customer-impacting issues. Converting customer requirements into practical architectures, configurations, and execution plans. Identifying opportunities to improve system performance, stability, and overall customer experience. Developing and maintaining technical documentation, including solution patterns, troubleshooting guides, and operational best practices. Contributing to continuous improvement by surfacing recurring issues, gaps, and optimization opportunities to internal teams. We expect you to have: Experience in a customer-facing technical role (e.g., solutions engineer, support engineer, technical account manager, or similar). Strong understanding of GPU infrastructure, including NVIDIA-based systems, multi-node environments, and performance considerations. Hands-on experience with Linux systems and system-level troubleshooting. Familiarity with large-scale compute environments such as GPU clusters, AI infrastructure, or supercomputing systems. Ability to diagnose issues across hardware, networking, and software layers. Strong analytical and problem-solving skills, with the ability to operate effectively in high-pressure situations. Excellent communication skills, with the ability to explain complex technical concepts clearly to customers. A proactive, ownership-driven approach with a strong focus on customer success. It would be an added bonus if you have: Experience working with NVIDIA Grace Blackwell or similar next-generation GPU platforms. Experience with cluster validation, benchmarking, or performance testing tools (e.g., HPL, NCCL) Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $180K to $220K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Warsaw, Poland WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! Why Box Needs You This Senior Engineering Business Operations Manager will be a key partner for the Engineering Business Operations and Strategy (EBOS) organization, responsible for providing operational support and expertise to Box Engineering teams across the Build organization. This role will have a focus on our EMEA teams. You will guide and prepare teams through planning and reporting processes - including Annual Planning, Quarterly Planning, Quarterly Business Reviews, and monthly Operational Reviews - and drive critical processes for tracking performance metrics and helping leadership measure and report on key goals. We are looking for someone who can help us scale in a way that supports our continued growth. This position reports directly to the Senior Director of EBOS. What You’ll Do Own optimization strategies and recognize opportunities to improve team functions; design and improve operational workflows to reduce friction and increase efficiency. Guide and prepare Engineering teams across EMEA for all planning and reporting processes, including Annual Planning, Quarterly Planning, Quarterly Business Reviews (QBRs), monthly Operational Reviews, and related cadences. Drive and maintain OKR tracking and KPI measurement for engineering teams; build reporting and dashboards that give leadership clear visibility into performance and progress against goals. Partner with Engineering leadership on production support and SLA management; monitor SLA performance, and support resolution and communication. Compile and analyze data from engineering and cross-functional partners to assess performance, identify operational bottlenecks, and support strategic decisions. Create and deliver presentations and materials for leadership and business reviews; ensure consistent, accurate reporting across EBOS and Build organization stakeholders. Collaborate with Product, Engineering, and Finance on planning alignment, resource allocation, and operational initiatives. Support ad-hoc EBOS projects and operational improvements to enable scale and continued growth. Who You Are 5+ years of experience in business operations, engineering operations, or a related operational role. Strong operational and process ownership: you guide teams through planning cycles and reporting with clarity and consistency. Experience driving OKR tracking, KPI measurement, and performance reporting for technical or engineering teams. Ability to recognize optimization opportunities and improve team functions; comfort with workflow design and continuous improvement. Analytical mindset: you interpret data, identify bottlenecks, and translate findings into actionable recommendations. Excellent written and verbal communication; ability to create clear presentations and reports for leadership. Proven track record of building strong relationships with cross-functional partners and engineering leaders. Ability to manage multiple priorities in a fast-paced environment; experience in a scaling tech company is a plus. We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Additional points for Experience in Engineering or Technical Operations; familiarity with software development lifecycles and engineering metrics. Proficiency with data and reporting tools (e.g., Excel, Tableau, JIRA, or similar). Experience supporting EMEA or other international teams; comfort with distributed and cross-time-zone collaboration. Bachelor's degree in Business, Operations, Engineering Management, or a related field preferred. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week , with a focus on Tuesdays and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-PK1 #LI-Hybrid

Location: Hong Kong QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The AWS Cloud Engineering Team provides a scalable, performant and best practice platform for QRT’s application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity. Your future role at QRT: We are hiring an experienced cloud architect, who has a deep knowledge in AWS infrastructure and compute services along with broad knowledge across the expansive suite of AWS services. The role will require close collaboration across QRT business and technology groups to provide cloud architecture advisory, design and implementation support on new and existing platforms, which lowers the burden of knowledge on development teams and accelerates the time to market of new applications, features and solutions. You will enable the QRT Business Teams to scale through: Accelerating the time it takes to design and implement new business applications and features whilst assuring sound architectural fundamentals are in place: Creation of re-usable and implementable architecture patterns and best practices, which advance the initial design and development phase of a project. Identifying and solving common challenges which impact application and technology teams Fostering collaboration across QRT’s application and technology teams Guiding adoption and delivery within QRT business groups to translate business requirements into technical designs and support development teams in creating supportable solutions within the cloud Providing time-bound support to teams within QRT to create cloud architecture and deployment plans and help standardize cloud offerings delivery Interfacing with cloud providers to identify new services that can be beneficial and providing feedback to them on service changes and improvements that would benefit QRT Your Present Skill Set: Extensive knowledge of infrastructure and compute solutions and their implementation in AWS, with demonstrable experience in designing and implementing well architected cloud solutions which support cloud hosted business applications. Knowledge of AWS core Infrastructure services (networking, security operations) Experience with AWS compute services and technologies, including (ECS, EKS, Kubernetes, EC2, Lambda): Ability to translate functional and non-functional requirements into well-rounded, secure, scalable solutions which meet the needs of the customer A demonstrable background in working at scale across a large cloud technology landscape, identifying, advising and defining best practice solutions for deploying and managing cloud native workloads. Good knowledge of one of more coding languages, such as Python. Experience in using an Infrastructure as Code, such as Terraform. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programs to enable employees to achieve a healthy work-life balance.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ We don’t have a rigid set of skills, but here’s some of what we’re looking for: - A deep understanding of modern ML techniques and tools for training transformers - Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar - A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism - The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library - The ability to perform roofline analysis on a transformer training setup - A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute - Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask - Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect - Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols - A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Summary GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that. Finding senior research staff is a hard problem for a couple reasons: The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes. Our process is very competitive. The offer rate for senior research roles is less than one in a thousand. We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster. The role You'd work closely with our manager, research recruiting and the team to own recruiting for some of our Researcher , Program Officer, Senior Researcher , and Senior Program Officer roles. Your time split will vary depending on team needs and your interests, but might look something like this: Pipeline management, moving things forward: 35% Coordination and communication with e.g. hiring managers and work test graders: 15% Process improvements: 10% Application review: 10% Conducting and evaluating interviews: 10% Sourcing and outreach: 10% Candidate communication and closing: 10% A few strategic problems we’ll want you to think about: After candidates apply, is our assessment process effective? Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed. Where do we even find good candidates? The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own). How can we use data to make better decisions? Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it. What are ways our hiring process could be much better? This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information? You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition. About you You’re excited about GiveWell's mission and methods. You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different. You’re careful and truth-seeking with your beliefs. For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things. You're unusually curious and analytical. When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident. You have very high standards. We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar. You’re entrepreneurial and high agency. You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan. You're direct. You say what you actually think even when it's uncomfortable. You’re good at communicating in writing. You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo. If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply. Qualifications We care much more about the qualities described above than any specific background. That said, some things that might help: Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization Comfort with data — spreadsheets and basic quantitative analysis Strong written communication Experience working closely with executive-level leadership Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org. Key Questions What are some of the reasons I might not like this role? You’ll be running hiring rounds from start to finish. We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines. GiveWell has a unique approach to hiring, and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.” You’ll need to deeply understand our work and culture to succeed. We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates. You will be expected to hunt, not just farm. While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in. You’ll be collaborating with leaders with high expectations. We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results. What does growth look like in this role? GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader. What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like: Simulating a hiring manager intake conversation Walking through a sourcing strategy for a hard-to-fill role Reviewing a job description or process and offering a critique Writing a candidate outreach email or internal communication We'll share more specific details if we invite you to move forward, but our current plan is: Screen with a member of the Talent Acquisition team Work trial(s), which might include live conversations and written work A combined achievements, values, and technical interview with the Manager, Research Recruiting References Team structure This role sits on GiveWell's Research team and reports to our Manager of Research Recruiting. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation. We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context. The details Compensation: NYC or the San Francisco Bay Area: $149,600 All other U.S. and international locations: $136,000 Benefits: Our benefits include (in the US): Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we’d encourage you to check back and apply again for a role you’re eligible for. Visa sponsorship: We are not currently able to sponsor visas for this role. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore. Key Responsibilities: Algorithm Design & Implementation: Develop detailed specifications for new and enhanced execution algorithms. Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python. Tooling: Build robust and reusable tools in Python to improve the overall team productivity. Market Impact Modelling: Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading. Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy. Transaction Cost Analysis (TCA): Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization. Provide actionable insights to portfolio managers and traders. Collaboration: Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives. Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation What You’ll Bring: PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies. Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator. Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: We are looking for a Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems. Your responsibilities will include: Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments Develop and maintain network design documentation, standards, and operational procedures Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6) Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure Automate network operations and workflows to improve reliability, scalability, and operational efficiency Ensure high availability and performance of production networks through proactive monitoring and continuous improvement What we expect you to have: Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies Deep expertise in routing protocols including BGP and IS-IS Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing Proven experience designing and documenting large-scale network architectures Experience developing and executing network testing strategies and validating vendor solutions Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox Working proficiency in English It will be an added bonus if you have: Working proficiency in an additional European language Experience with public cloud networking and GPU/InfiniBand environments Knowledge of software-defined networking (SDN) overlays in cloud environments Proficiency in Python, Go, or other programming languages in Linux environments Experience using programming languages for network automation and tooling Working conditions: Remote work within the United States Work closely with globally distributed infrastructure and engineering teams Participation in on-call rotations to support production environments Key employee benefits: Comprehensive health insurance 401(k) plan with company contribution Paid time off and public holidays Flexible working hours Professional development and certification support Compensation: $125,000 – $180,000 USD per year, depending on experience and qualifications Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York City, NY | Seattle, WA; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions. Responsibilities: Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a growth or product area at significant scale Have 5+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling Experience with targeting, personalization, or uplift models in production Background at consumption-based, multi-product companies serving both consumers and enterprises Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Long Island, NY Part-time Position Pay: $25.00 - $30.00 per hour We’re seeking a dedicated Registered Behavior Technician (RBT) to join our mission-driven team. If you're passionate about supporting children with autism and developmental disabilities, we’d love to have you on board! What You’ll Do : Implement ABA therapy programs under BCBA supervision in home, school, and center-based settings. Collect and document session data in Rethink within 24 hours. Follow individualized behavior intervention plans (BIPs). Participate in new hire check-ins and maintain professional communication with families. What We’re Looking For: At least 6 months of hands-on experience with children with developmental disabilities. Current RBT certification . Familiarity with ABA data collection and documentation. Strong communication and interpersonal skills . Patience, creativity, and a passion for helping the autism community. Why Join Us: Flexible scheduling options to fit your lifestyle. RBT certification support and professional development opportunities. Advancement to BCBA supervision track . Easy-to-use Rethink app for session tracking. A supportive, mission-driven team . What Sets You Apart: You’re a passionate advocate for children with autism. Your energy, creativity, and consistency shine through in every session. You excel in dynamic environments, keeping families informed and supported. You’re not just a technician; you’re a champion for every child in your care. Apply today www.lbaps.com