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Location: North America and Europe Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data team is responsible for improving the overall architecture of Alpaca connected to data products such as stocks, options, crypto, and foreign exchange markets. Oversee their public API structure and documentation on both streaming and historical endpoints. The team is responsible for building a cohesive developer-first API and is tasked with planning, ideating, experimenting, and putting into production the new services, and libraries that overcome some of our greatest technical challenges as we continue to scale rapidly. We are looking for senior or staff engineers who are keen on providing quality solutions, have great fundamentals, have proven experience building and architecting at scale, and are not afraid of challenging conventions. This demanding team also requires a deep understanding of POSIX-like operating systems, modern infrastructure, and orchestration practices. Things You Get To Do: Influence the overall architecture of Alpaca’s market data systems Design highly scalable, mission-critical systems Obsess over latency (every nanosecond counts) Implement backend services and lead architecture where scalability and resilience matters Maintain good software quality and test coverage Participate in code reviews Troubleshooting on incidents and reported bugs You may be asked to be on-call to assist with engineering projects that are timely in nature Who You Are (Must-Haves): At least 4 years of experience working on systems at scale Experience with at least compiled imperative languages (e.g. Go, C, C++, Rust, etc.). Most of our critical services are written in Go SQL or relational database skills Familiarity with TCP/IP, and UDP networking Proficient with Linux/BSD, and shell scripting Excited about what we are building at Alpaca Proven track record of architecting and leading medium-scale projects involving multiple teams Experience with Kubernetes or other workload orchestration and scheduling systems (we primarily use Kubernetes via GKE) Experience with major cloud platforms (we primarily use GCP) A passion for financial markets Who You Might Be ( Nice-to-Haves): Experience with Market Data Knowledge of microservice architectures Knowledge of clean code principles DevOps mindset is an asset Cloud Networking experience (BGP, VPC peering) Experience in building low-latency applications Experience with distributed key-value stores Experience with CI/CD A passion for financial markets or the desire to learn Knowledge of Agile/Scrum methodologies Experience with observability, tracing, continuous profiling Experience with capacity planning and benchmarking How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Bucharest, Romania Recruitment & Onboarding: - Manage the end-to-end recruitment process, including the development of recruitment strategies, job postings, candidate sourcing, screening, ︁︀​︂︃︃​︇︉​︆︄interviewing, and reference checks. - Help organize and attend recruitment events, providing logistical and administrative support to enhance talent acquisition efforts. - Enhance the onboarding experience by assisting in developing structured orientation programs, integrating feedback loops to continuously improve processes. Employee Recognition & Engagement: - Act as a point of contact for employee inquiries related to HR related matters. - Support managers in addressing employee performance and conduct issues. - Assist in creating initiatives to improve employee engagement and workplace culture. - Help collect and manage employee feedback through surveys and assist with follow-up actions. Benefits Administration: - Assist with benefits enrolment processes and coordinate with third-party benefits providers. - Provide administrative support in gathering data for compensation benchmarking and assist HR leadership in reviewing compensation structures. HR Compliance & Risk Management: - Ensure compliance with local labour laws and regulations. - Maintain and update employee records according to company policies and legal requirements. - Assist in conducting regular audits of HR policies and procedures. Benefits: Medical subscription Trainings Courses Extra days off Flexible work schedule Team buildings / trips Parties / company events Meal vouchers

Location: Cherry Hill Township, United States; Edison, United States; West Long Branch, United States; Flemington, United States Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years or older. Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Location: London, United Kingdom Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. Infomediji develops leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We’re looking for a Content Acquisition Manager to drive our platform in US and EU markets. This role is about structuring operations, attracting top content, and fostering a thriving ecosystem that sets our products apart from the competition. What You Will Do Identify and reach out to immersive content creators and studios worldwide Negotiate partnerships and guide new partners through onboarding Ensure partners upload and publish content successfully Build and maintain long-term relationships with creators and productions organizations Track performance and help partners grow their audience Monitor and organize meetups with content creators Maintain a CRM of immersive content creators in US and EU with detailed statuses What We Are Looking For Relevant experience preferably in live-streaming, video-sharing, social media, tech, startups Experience in creator partnerships, content acquisition, or digital media Ability to work cross-functionally, structuring and optimizing team processes A proactive, hands-on mindset with the ability to drive impact in a fast-moving environment Fluency in English (B2 and above) Bonus Points An understanding of immersive media, and content platforms Experience creating and executing comprehensive business development strategies Hiring Process HR Screening (30 min) HM Interview (30 min) Case task (2-4 hours) CEO Interview (30 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation. Join us and embrace a role where your expertise meets technological innovation!

Location: Chemnitz, Germany About Our Client They are a respected European brand in enamel-coated architectural panels and glass-fused-to-steel tanks and digestors . Their solutions are valued for their durability, aesthetic quality, and performance in harsh conditions: Architectural Panels – For tunnels, train stations, subways, and building facades, known for fire resistance, low maintenance, and long-term color retention. Storage Tanks – For drinking water, wastewater, agricultural grain, and animal feed storage, offering corrosion resistance and longevity. Biogas Digestors – For renewable energy production from organic waste and agricultural residues, trusted for gas-tightness and chemical durability. Their brand is now supported by a global industrial group with a successful track record of rebuilding and scaling engineering businesses in both Germany and India. With access to capital, leadership depth, and market access, the new ownership is committed to preserving the brand’s legacy while driving operational modernization. About the Role They are seeking a results-oriented and hands-on head of quality, who is focusing quality-leadership in the worldwide markets of their brand, strategic quality management based on process improvements, and roll out quality-culture over the full team. Reporting to COO/CEO. Requirements Key Qualifications 5–7 years of experience in quality management and leadership in German industrial manufacturing , ideally in metal fabrication, coatings, tanks, or building materials Strong knowledge of relevant quality standards and regulations ISO 9001; ISO 14001, ISO 45001, ISO 50001 Hands-on mentality and team spirit High quality and safety awareness High personal ownership, integrity, and the ability to lead by example Key Responsibilities Development of strategies, design, implementation, and maintenance of processes and systems for managing and directing an Integrated Management System for Quality Investigation and resolution of quality issues, response to customer complaints to ensure an optimal level of customer satisfaction. Analysis of system effectiveness, development of strategies for managing the internal/external audit process for ISO 9001, ISO 14001, and ISO 45001, and presentation of system performance reports to the management team. Conducting internal audits and organizing external audits according to the company's approved audit program Employee development and training regarding quality awareness Leadership of a small team Benefits Why This Role? Be at the forefront of restoring a legacy industrial brand with real technical depth and global reputation. Operate with autonomy, clarity, and full support from a respected and successful international parent company. Help shape a company’s next chapter—not as a caretaker, but as a builder. Attractive compensation, aligned to responsibility and results.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on the Startups team, you’ll land net-new startup customers and help them adopt Vercel through scaling, working with founders and technical leaders who are making critical architectural decisions. You’ll generate your own pipeline, spot high-potential startups early, and make Vercel their default stack before competitors get in. The main focus is turning early plays into repeatable playbooks that scale across our startup portfolio, using automation and agents to work at high leverage. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you’ll do Generate pipeline through outbound, targeting high-potential startups early Land new logos and drive first activation on Vercel Build relationships with founders, developers, and technical leaders by learning their architecture, use cases, and constraints Guide teams adopting AI-native architectures and show how Vercel supports new workloads, performance requirements, and scaling patterns Build automations, agents, and workflows to focus your time on the highest-impact customer work, and turn what works into repeatable playbooks What you need 2+ years of experience closing deals Owned revenue outcomes across a range of deal sizes and complexities Worked with founders and technical leaders at companies from pre-seed through Series D Can explain how modern web and AI-native applications are built and scaled, including frontend performance and scaling tradeoffs Bonus if you Have built, founded, or engineered software, or worked in a technical go-to-market role Have helped grow an early sales motion into a structured one Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $170,000 - $240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identify and remediate security gaps through code review, threat modeling, and hands-on debugging Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go or Rust Experience contributing to cloud security controls A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix Clear communication skills and the ability to work collaboratively across engineering teams Low ego and high empathy, with a genuine interest in helping teammates succeed Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy Experience with eBPF for security monitoring and enforcement, or developing kernel security policies Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE Background building or operating security systems in environments that support research workflows and rapid iteration Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $320,000 — $405,000 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: Paris; London; New York; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem. - Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime. - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - [Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - [Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance. - [Bonus] Experience in ML, LLM and RL academic research. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a skilled Data Architect for a 3-month contract role. In this position, you will play a crucial role in designing and enhancing data systems to meet the evolving data needs of our organization. Your expertise will help shape our data strategy, ensuring the architecture is robust, scalable, and aligned with business goals. Collaborating with various teams, you will address data-related challenges and implement best practices in data management. Responsibilities: Design and implement data architecture solutions to support business objectives. Develop data models that align with existing and new business processes. Facilitate data integration efforts and ensure seamless data flow across systems. Establish data management policies and governance practices. Work closely with developers to optimize data storage and retrieval processes. Lead data quality initiatives and improve data accuracy and consistency. Ensure compliance with data security standards and regulations. Provide technical guidance and support to team members. Conduct reviews of the existing data architecture and recommend enhancements. Keep abreast of industry trends to ensure modern data architecture practices. Requirements Requirements: Degree in Computer Science, Information Systems, or related field. Demonstrated experience as a Data Architect with a solid track record in data architecture design. Proficiency in data modeling practices. Experience with ETL processes and data integration technologies. Strong understanding of data governance frameworks. Hands-on experience with SQL and database management systems (e.g., Oracle, SQL Server, MySQL). Ability to enforce data quality standards and conduct data analysis. Knowledge of data security methodologies. Excellent problem-solving abilities and analytical skills. Strong communication skills and team-oriented mindset. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: United States Workplace: remote About Lyra   Lyra Clinical Associates partners with Lyra Health, a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Lyra members have access to care in one day, and nine out of ten improve with the support of providers like you. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. You will be employed by Lyra Clinical Associates. About the Role Lyra developed an innovative video therapy program called Lyra Care Therapy: Blending live video sessions with between-session digital psychoeducation and customizable skill building tools. The Lyra Dialectical Behavior Therapy (DBT) program capitalizes on Lyra Care Therapy to supplement standard individual DBT and DBT skills groups with novel between-session DBT-relevant digital activities—activities that help promote skill generalization and integration into your clients’ daily lives. Lyra DBT clients also have 24/7 access to a team of licensed clinicians who have been trained in DBT skills coaching for around the clock support.    Daily: As a Lyra DBT Therapist, you’ll provide individual DBT and DBT skills groups via live video to adult clients. You’ll also assign DBT-relevant digital lessons, videos, and assessments to your clients to enhance learnings and monitor outcomes between sessions. An important note: Lyra's clients come from a multitude of backgrounds and experiences, and have varying needs and abilities. We strive to continue to meet their unique needs by delivering culturally responsive care—an approach that accounts for the impact of cultural backgrounds on each person’s care experience.   Regularly: Our therapists enjoy connecting with their colleagues who share a passion for providing evidence-based care. You’ll attend weekly consultation team meetings as well as one-on-one consultation meetings with an expert DBT team lead, co-lead DBT skills groups with other DBT providers, and attend robust trainings to enhance your clinical skills. You always have a team behind you if a crisis comes up. You’re never alone, even while working remotely in the US.    This role may be a great fit if you are a PSYPACT authorized or PSYPACT eligible licensed psychologist who enjoys working with complex clients in a supportive, collaborative, and feedback rich environment. You may also find this role rewarding if:  - You are passionate about helping others improve their lives through skills-based interventions and work to understand your clients through a lens of compassion and curiosity. - You enjoy evidence-based practice, continual learning, and professional improvement. - You prefer to work within a collaborative team environment. - You are accountable for your own outcomes and performance, and are willing to embrace challenges that others may shy away from. Requirements: Clinicians must be PSYPACT eligible, with a preference for clinicians with current PSYPACT authorization PhD/PsyD in clinical or counseling psychology from an accredited graduate program Formal didactic training in DBT required (e.g., in-house training with consultation team, tape review, 1:1 supervision; Behavioral Tech; DBT Foundational Training; DBT Intensive Training) One year minimum experience providing comprehensive DBT which includes: individual DBT therapy with clients through Stage 1 of treatment, facilitating skills groups utilizing Linehan materials, participation on a consultation team, skills coaching DBT-LBC certification preferred but not required Experience, comfort, and passion working with clients who present with high risk behaviors, including suicidal ideation and/or self-injury Willingness to obtain cross-licensing in additional states as needed to support program growth Experience providing telehealth therapy services in a virtual environment (video and teletherapy) preferred but not required Computer and live video tools literacy (e.g., Zoom, Google Meets, DoxyMe, Skype, etc.) As a full-time licensed psychologist, you will be employed by Lyra Clinical Associates P.C. We manage the business operations so you can focus on providing high-quality mental health care. Here are just some of our perks and benefits: Competitive compensation for your session work and administrative work This role is eligible for a sign-on bonus for qualified candidates Access to lyra for Lyrians; coaching and therapy services for you and your dependents Time off with pay policies, including vacation, sick days, and company holidays 401K with up to 3% matching Employee discount marketplace including access to pet insurance Free live and recorded webinars with CE approval from APA, ASWB, and NBCC Malpractice liability insurance policy Licensure renewal reimbursement—up to 5 state licenses Opportunity for cross-licensure sponsorship and support, if eligible A caseload of motivated clients from diverse industries and backgrounds matched with your expertise using specific search features in the care platform A new Chromebook, dedicated business support from Operations, HR, and IT professionals, and  a monthly technology stipend We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more! "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the LyraWorkforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Informationform.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com.   For more information about how we use and retain your information, please see ourWorkforce Privacy Notice." The anticipated salary range for a full-time licensed DBT provider at Lyra is between $98,000 - $126,000 annually, depending on geographical location.    At Lyra, base salary is only one aspect of an employee’s total compensation package, which may additionally include monthly variable measurement based compensation, comprehensive healthcare coverage, retirement benefits, and time off with pay.    *Please note that although our application mentions a cover letter, we do not require a cover letter in order to be considered for this role.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is looking for a Manager, Strategic Sales to join our dynamic team of creatives, engineers, marketing wizards, and brilliant business folks. You aren’t the typical sales leader, and we aren’t the typical product development company. At Figma, we think outside the box, lift constraints that block our imagination everyday, and we expect you to do the same. With this role you’ll get in at the ground floor in a fast growing sales org. You’ll consult with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. Figma is growing and moving fast. Our next team member will have an agile, dynamic mindset, be comfortable embracing change, a true team-player, and love working with our growing footprint of Fortune 1000 customers. You won’t be alone! Figma has an incredible team and you’ll work closely with other groups including Support, Design, Engineering, Product Marketing, Customer Success, and Community. As Manager, Strategic Sales, you will lead a team of Account Executives responsible for continuing the growth of our Enterprise products. You will report directly to our VP of Enterprise and Strategic Sales, North America. This is a full time role. Open to remote within the U.S., with a preference for candidates based in one of our hubs. What you’ll do at Figma: Lead our Strategic Segment for North America Participate in customer and prospect meetings with our largest and most strategic customers Attract and retain top talent across the team Help shape and further develop sales processes and initiatives Establish the strategy for the continued growth across our most strategic segment We'd love to hear from you if you have: 7+ years of sales experience (preferably within SaaS) 2+ years of management experience Understanding of our technical and competitive landscape Ability to thrive in a constantly changing and evolving environment Exceptional coaching, writing, discovery and presentation skills Excitement for increasing customer happiness and developing lasting customer relationships Proven track record of leading successful and consistent sales team At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $155,500 — $230,500 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Hollywood, FL Travel Primary Care Physician Location: Hollywood, FL (Travel Required) Schedule: Full-Time Salary per annum: $250,000 - $300,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a dedicated and compassionate Travel Primary Care Physician to join our team in our Hollywood, FL office. As a Travel Primary Care Physician, you will provide on-site care to residents in long-term care settings as well as provide comprehensive primary care services via telehealth to a diverse patient population. Additionally, you will assume quality management responsibilities to ensure adherence to best practices and regulatory requirements. Travel Requirements Out-of-state travel required Nationwide travel required up to 100% of the time Travel to partner skilled nursing and long-term care facilities across multiple states Flexibility to travel on short notice based on organizational and patient care needs Responsibilities Travel to Long Term Care facilities to provide in-person care Provide high-quality telehealth primary care services to patients in accordance with clinical guidelines Conduct virtual assessments, diagnose, and develop treatment plans tailored to patient needs Manage chronic diseases and acute conditions through telemedicine platforms Collaborate with interdisciplinary teams to enhance patient care Maintain accurate and timely medical records in compliance with documentation standards. Assist with quality management (QM) initiatives, including compliance audits, clinical evaluations, and outcome tracking Ensure adherence to regulatory guidelines and clinical protocols Provide guidance and support to healthcare team members regarding best practices and performance improvement initiatives Requirements Medical Degree (MD or DO) from an accredited institution Extensive experience in long-term care (LTC) or skilled nursing facility settings. Strong leadership, communication, and team-building skills In-depth knowledge of regulatory requirements and quality improvement processes in long-term care Ability to collaborate with interdisciplinary teams and external stakeholders to enhance patient care and facility operations Experience in telehealth or virtual care settings (preferred but not required) Strong clinical judgment, communication, and patient engagement skills Proficiency with electronic medical records (EMR) and telehealth technology Ability and willingness to travel nationwide as required Prolonged standing/walking. Occasional lifting. Frequent travel. Lifting/moving patients. Benefits Competitive salary per annum: $250,000 - $300,000 Health Dental Vision 401K Company-Sponsored Life Insurance Paid Time Off Malpractice Insurance Paid subscription to Up-to-date Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most.

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 hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit 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 As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance 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 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: $216,700 — $303,400 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: Remote - Ontario, Canada 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 hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit 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 As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance 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 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: Berlin, Germany; Potsdam, Germany; Leipzig, Germany; Magdeburg, Germany; Dresden, Germany; Hannover, Germany; Rostock, Germany; Hamburg, Germany; Kiel, Germany Workplace: on-site TechBiz Global is looking for enthusiastic volunteers to support us as Business Development Representatives at IFA Berlin 2025 on September 5-9 . Why volunteer with us? You’ll gain real-world exposure to B2B business development in tech, build valuable networking connections, and enhance your professional profile. Plus, you’ll be contributing to an exciting event alongside a fast-growing global IT recruitment agency. Ready to get involved? Apply today and be part of an unforgettable experience at IFA Berlin 2025 ! What’s in it for you? Experience first-hand the energy of one of Europe’s largest tech and innovation fairs. Connect with global professionals, budding entrepreneurs, and future industry leaders. Learn how business development boards operate at a major international event. Gain practical skills—pitching, networking, lead generation, and professional representation. What you'll do: Engage conference attendees, introduce them to TechBiz Global and our services. Generate and document promising leads. Help create a welcoming, professional presence at our booth. Excellent communication skills and a friendly, proactive attitude. Fluent in English. German proficiency is mandatory. Available on-site in Berlin for the full event duration (September 5-9) or weekend (September 6-7). No prior sales experience required - just your enthusiasm to learn and connect.

Location: Remote - Worldwide Whippy is leading the way in AI-powered business communication, transforming how companies engage with customers using intelligent AI Agents. From customer support to marketing to sales, businesses rely on Whippy’s Voice AI and Chat AI to eliminate manual workflows—responding to inquiries, nurturing leads, screening job applicants, and automating high-value interactions at scale. By combining AI-driven messaging with omni-channel automation, Whippy replaces outdated tools with a single, powerful platform that helps businesses work smarter, faster, and more efficiently. ABOUT THE ROLE As an Engineering Manager at Whippy, you will: Start by spending at least one-third of your time coding and building new product. Over time, you will work with the CTO to manage and scale our engineering team and best practices. Somethings you should have experience doing are. - Working and communicating with a team in a remote environment. - Conduct regular 1-1s and help unblock engineers as needed. - Help to manage a hiring pipeline and conduct technical interviews. - Conduct code reviews and aid engineers in releasing new features quickly and reliably. ABOUT YOU 1+ years of experience as an engineering manager at a start-up in a remote engineering team environment. A desire to be a part of the entire project development process. From research gathering and planning to implementation and monitoring. Great written and verbal communication skills for expressing ideas, designs, and potential solutions in a mostly asynchronous manner. WHAT DO WE OFFER? Compensation is $80K-$100K/year based on experience Opportunity to take on significant responsibility and ownership in a highly disruptive product. Working hands-on with serial entrepreneurs who have created $100M+ valued companies WHAT TO KNOW? To provide transparency, here are some important points to note about the position: - We are a startup, and our team dynamics differ from those of companies in different sizes and stages. Our team is distributed across the globe, and this distributed nature will continue to grow. This means that there is always something happening, so effective time management in a remote and asynchronous engineering environment is essential. - While English is the second language for many engineers on the team, fluency in written English is a requirement. While fluency in spoken English is also a plus, if you are not confident in your written English ability, please do not apply. - We hire globally regardless of timezone, but we have team meetings on Mondays and Fridays at 2:30 pm GMT. If you are unable to be online during these hours, please do not apply. - Pay is determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, and the abilities of the candidate. WHAT’S THE PROCESS? Here's the entire process if selected after a CV screen. 1. Submit your Resume or CV 2. Video call to talk about your experience and the role. 3. Meet the team and review work. 4. Full Time Position Offer extended.

Location: Bulgaria; Croatia; Czechia; Greece; Hungary; Latvia; Lithuania; Poland; Romania; Ukraine Why Cast AI? Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically. Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently. Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ. What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between. About the role We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions. Requirements: Experience : 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects. Modelling Expertise : Experience in training tabular and time-series models using classical machine learning and deep learning approaches. Technical Skills : Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools. Database Knowledge : Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus). Problem-Solving : Exceptional analytical skills with a detail-oriented and innovative approach to challenges. Communication : Strong verbal and written communication skills to collaborate effectively within a team. Bonus points Cloud & Containers : Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes. ML Pipelines : Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring. MLOps Tools : Familiarity with MLOps tools like MLflow or Feast. OLAP Expertise : Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake. Advanced Modeling : Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges. Responsibilities: Run Data Science Experiments : Design, execute, and evaluate experiments to refine models and improve outcomes. Develop Machine Learning Models : Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data Analyze Data : Perform deep-dive data analysis and deliver actionable insights to shape our business strategies. Collaborate : Work closely with cross-functional teams to align data science projects with company goals. Stay Current : Keep up with the latest advancements in data science, cloud technologies, and DevOps. Master Databases : Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems. What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Enjoy a flexible, remote-first global environment. Equity options. Private health insurance. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. #LI-Remote #LI-Remote

Location: Baku; Serbia; Canada Workplace: onsite ABOUT YOU We’re looking for a Senior Backend Software Engineer who thrives on solving complex technical challenges and building distributed systems that scale. You’re someone who’s comfortable working with Go, embraces microservices architecture, and understands how to build robust, event-driven systems used by millions of users.   You have experience working in containerized environments, designing resilient services, and contributing to system design and infrastructure decisions. You take ownership of your code from design to deployment, and enjoy collaborating with cross-functional teams to deliver high-impact, production-ready solutions.   If you’re passionate about building backend systems that are scalable, observable, and fault-tolerant, and you’re excited by the idea of powering innovative products at the intersection of games, commerce, and data, we’d love to hear from you.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Design, build, and maintain backend services that power core products and platforms. Develop event-driven systems using Go, Kafka, and Temporal (or similar orchestration tools). Build scalable microservices in containerized environments using Docker and Kubernetes. Drive architecture decisions that improve performance, resiliency, and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. Own your code in production, monitor, debug, and continuously improve service performance and reliability. Write automated tests and follow CI/CD best practices to ensure high-quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Qualifications & Skills 5+ years of backend development experience in Go or a similar language. 2+ years of hands-on experience with Kafka or equivalent streaming platforms. Strong understanding of microservices architecture, distributed systems, and event-based communication. Experience working with workflow orchestration tools such as Temporal, Cadence, or similar. Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). Solid understanding of observability, monitoring, and performance optimization. Ability to troubleshoot production issues, analyze system behavior, and drive resolution. Nice to Have Experience with cloud platforms (e.g., AWS, GCP, or Azure). Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Background in gaming, payments, or commerce systems. Prior experience working on internal platforms or developer-facing tools. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers