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Location: London 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. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 5 years of writing production-quality code in C++ on Linux platform Good understanding of Python language with development experience Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 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: Paris 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 - Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.   - Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations. - Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders. - Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations. - Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.  - Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product. WHAT YOU'LL BRING - 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts. - Strong communication skills: Exceptional verbal and written communication abilities. Professional fluency in French and English. - Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. - Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. 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: Global Workplace: Remote MANTLE SQUAD Role Overview Mantle Squad Members are community ambassadors who extend the Mantle team by bridging the ecosystem with global Web3 communities through engagement, activations, and localized storytelling. We are searching for talents who are strong in one or more of the skill areas below and can contribute meaningfully while collaborating with the broader Mantle Squad. Job Responsibilities Community Building & Ecosystem Engagement - Represent Mantle as a community ambassador across global Web3 ecosystems - Build and actively engage local and online communities - Engage builders, students, and early-stage founders to support ecosystem growth - Drive awareness and adoption of Mantle’s RWA & AI ecosystem - Maintain post-event relationships and convert engagement into long-term ecosystem participation Events & Offline Activations - Support, co-host, and participate in meetups, panels, and industry events - Collaborate with the Mantle team on community-led activations and campaigns - Identify partnership, media, and collaboration opportunities across the RWA/AI space - Support outreach that helps amplify Mantle’s brand, updates, and ecosystem stories - Strengthen Mantle’s presence through grassroots and community-led activations - Act as a connector between communities and Mantle to unlock long-term opportunities Content, Distribution & Localization - Distribute ecosystem updates and campaigns across community channels and social platforms - Localize and adapt content for different cultural and regional audiences - Amplify Mantle narratives across Discord, Telegram, X, and other platforms - Ensure consistent communication of ecosystem updates across communities Ecosystem Growth & Feedback - Provide structured feedback from community sentiment to Mantle - Surface opportunities for partnerships, collaborations, and ecosystem growth - Support improvement of community initiatives through real user insights - Act as a bridge between local communities and the core Mantle team Requirements - 2+ years of experience in crypto/Web3 marketing, community, or ecosystem roles - Strong understanding of Web3 ecosystems, crypto culture, and community-driven growth models - Proven ability to engage, grow, and activate online and offline communities - Strong ownership mindset with the ability to execute independently in fast-paced, distributed teams - Excellent communication, storytelling, and relationship-building skills - Comfortable working across community platforms such as Discord, Telegram, and X - Ability to adapt messaging and engage across diverse cultural and regional audiences - Strongly connected within Web3 ecosystems (founders, creators, communities, or partners is a plus) Why Join Mantle Squad - Be part of Mantle’s early global expansion efforts with real ownership and impact - Work closely with core teams and ecosystem contributors, with opportunities for direct collaboration - Gain exposure to major industry events and ecosystem activations (including sponsored participation opportunities) - Opportunity to grow into expanded regional leadership or full-time roles based on performance - Build and accelerate your personal brand within the Web3 ecosystem

Location: San Francisco Mantle Squad US – Ecosystem Researcher San Francisco, US | Part-Time | 15–20 hours/week Role Overview Mantle is expanding its presence across the Americas and is seeking a high-signal ecosystem operator to help grow brand presence, community engagement, and offline traction. This part-time role (15–20 hours/week) is designed for individuals deeply embedded in either the crypto/X ecosystem or the San Francisco AI / builder community, with strong real-world credibility and the ability to convert offline interactions into meaningful ecosystem growth. The ideal candidate will act as a visible representative of Mantle in both digital and in-person environments: driving narrative, relationships, and ecosystem expansion across the US Responsibilities 1. Research, Trend Analysis & Narrative Development - Conduct in-depth research on Mantle, its ecosystem partners, and broader crypto, AI, and financial markets, with a focus on fast-moving narratives such as RWA prediction markets on-chain activity, and macro sentiment shifts - Identify emerging trends early and translate them into clear, actionable insights that inform narrative positioning, ecosystem opportunities, and strategic decision-making - Produce high-quality, narrative-driven research and analysis tailored for crypto-native audiences, institutional partners, and ecosystem communities (including blockchain clubs, universities, and research groups) - Break down complex trends such as RWA tokenization, prediction market signals, liquidity shifts, and macro cycles into clear, engaging, and distribution-ready content formats - Support internal strategy, campaigns, and ecosystem growth by surfacing trend-driven insights that shape positioning, timing, and focus 2. Ecosystem Representation & Offline Activation - Represent Mantle at industry events, conferences, meetups, and ecosystem gatherings across crypto, AI, and broader financial innovation spaces - Engage founders, builders, researchers, and institutional ecosystem participants in-person and convert interactions into meaningful relationships and opportunities - Support or co-host small-scale activations such as roundtables, research salons, and community events focused on emerging narratives (e.g. RWA, prediction markets, on-chain macro themes) - Act as a bridge between offline ecosystem conversations and Mantle’s internal teams by capturing real-time market and narrative signals from the field 3. Ecosystem Growth & Community Building - Leverage strong local and digital networks across crypto, AI, and developer ecosystems to expand Mantle’s presence in high-signal communities - Drive awareness and participation in Mantle’s ecosystem through narrative-led engagement across both online and offline channels - Support partnership development, introductions, and ecosystem expansion efforts tied to emerging sectors such as RWA, on-chain finance, and prediction markets Requirements - 2+ years of experience in crypto, Web3, or tech ecosystems (community, research, marketing, or growth roles) - Strong understanding of crypto culture and emerging narratives such as RWA, AI, …. - Ability to conduct lightweight research and translate insights into clear, well-written content or commentary for crypto-native audiences - Comfortable engaging in both online and offline ecosystem environments, including events, meetups, and community gatherings - Proven ability to build relationships with founders, builders, and ecosystem participants and follow up on meaningful connections - Strong communication skills with the ability to adapt messaging across different audiences (community, builders, partners) - Self-directed and reliable in executing responsibilities in a fast-paced, part-time, distributed environment Why Join Mantle Squad Americas - Be part of Mantle’s early expansion in North America - Work directly with global teams and ecosystem leaders - Gain access to high-impact crypto and AI events - Build your personal brand through research and storytelling - Grow into expanded regional or full-time ecosystem roles

Location: Paris; Amsterdam; Munich; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE TEAM The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale. By joining the team you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. ABOUT THE JOB You will be one of the founding engineers of the Applied AI SRE sub-team. Your mission, alongside the team, is to build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted. You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact. You will operate in four concurrent modes: - BUILD - Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity. Productize reliability, author runbooks, create SLO templates, implement observability. - RUN - Operate the Tier-1 customer environments that Mistral are contracted to operate. Ensure SLO compliance, own on-call and incident response, manage drift, partner with Technical Support as L3 escalation, champion high signal post-mortems. - ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions. Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything. - SECURE - Own the security operations layer for our customer-side deployments. Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines. This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. ABOUT YOU • Fluent in English. • 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling. • Strong multi-tenant Kubernetes fluency, namespace segmentation, network policy, RBAC, admission control, operations at scale. • On-call discipline: incident response, blameless post-mortem culture, runbook-first mindset. • Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz. • Infrastructure as code: Terraform, Ansible (or close equivalents). • Proficient in Python and/or Golang for tooling and automation. • Security mindset: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job. • Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role. • Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in. • Solid Linux internals, networking debug, and distributed-systems fundamentals. STRONG PLUS • Cloud or application security background (AppSec, K8s security, supply chain — SBOM, cosign, SLSA). At least one of our early hires must bring this; if it's you, flag it. • Experience operating LLM / model-serving stacks in production • Experience with multi-cloud or on-prem hybrid customer environments (AWS, GCP, Azure, sovereign clouds). • Open-source contributions, particularly in SRE, observability, or security tooling.     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Dhahran, Saudi Arabia Eram Talent is seeking an experienced Drafting Trainer specializing in the Oil & Gas sector to join our team. The Drafting Trainer will be responsible for designing, developing, and delivering comprehensive training programs focused on drafting techniques, software applications, and industry standards specific to the oil and gas industry. The role involves mentoring and upskilling drawing and drafting professionals to enhance their technical skills and ensure adherence to safety and quality standards. This position requires strong expertise in drafting software and proven teaching abilities to effectively communicate complex concepts. Responsibilities: Develop and deliver training programs on drafting software and techniques related to the Oil & Gas industry Provide hands-on training sessions and workshops to enhance technical skills of participants Assess training needs and adapt programs accordingly to meet specific client and industry requirements Evaluate trainees’ progress and provide feedback and support for improvement Stay updated with the latest drafting technologies, software, and industry standards Prepare training materials, manuals, and documentation Collaborate with management and technical teams to ensure training aligns with project goals and regulatory compliance Requirements Bachelor’s degree in Engineering, Architecture, or a related technical field Proven experience in drafting within the Oil & Gas industry Strong proficiency in drafting software (e.g., AutoCAD, MicroStation, PDMS, SmartPlant) Experience in delivering training or teaching technical subjects to professionals Excellent communication and interpersonal skills Ability to develop clear and effective training materials Knowledge of Oil & Gas industry standards and safety regulations Strong organizational and presentation skills Ability to customize training to accommodate different skill levels and learning styles

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You have a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields - You have experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters - You’ve developed, trained, optimized, or deployed state-of-the-art large-scale models - You have first-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR - You have a mission-driven mindset and a strong desire to translate research advances into meaningful product impact - You have a collaborative spirit and can work effectively across research and engineering teams Candidates with a master’s degree and significant research or industry experience will also be considered.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU’LL WORK ON: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for - Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine - Help shape the research agenda None of the above is prescriptive; your work will help guide our future. YOU MAY BE A FIT IF: - You have a research-leaning or systems background in LLM inference, with work you can point to - You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling - You have a record of shipping research or systems that other people build on, whether in a lab or in industry - You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team - You’re able to work in person in our NYC or San Francisco office

Location: Yanbu, Saudi Arabia; Manila, Philippines; Colombo, Sri Lanka; Dubai, United Arab Emirates; Kuala Lumpur, Malaysia; Kampala, Uganda Eram Talent, a reputable talent acquisition consultancy focused on providing top-notch recruitment solutions for its clients, is seeking to hire a Mechanical Technician for its Oil and Energy division. As a Mechanical Technician at Eram Talent, you will be responsible for ensuring that the mechanical systems and components of various projects, particularly in the oil and energy sector, are installed and maintained efficiently. You will also work closely with other technicians to analyze and troubleshoot mechanical issues, as well as recommend effective solutions for clients. Eram Talent prides itself on its extensive global reach and network, which ensures that high-potential professionals with sophisticated skills from various industries are recruited to meet the needs of clients across different geographies. Responsibilities S hould have a Diploma in Mechanical engineering or vocational certificate in appropriate discipline and a minimum experience of 5 year in mechanical maintenance of equipment similar those in a large utility company or experience in large petrochemical /refinery .shall have been in the field of repair, maintenance servicing and overhaul. He should have experience in operation of mechanical and electro mechanical equipment and system He shall be conversant with usage of measuring and testing instrument. Maintain and repair mechanical systems and components in various oil and energy projects. Perform routine maintenance on mechanical equipment and machinery. Monitor and inspect mechanical systems and related work to ensure compliance with safety regulations and industry standards. Troubleshoot and diagnose mechanical problems and recommend effective repair solutions. Read and interpret technical drawings and schematics related to mechanical projects. Collaborate with other technicians and engineers to provide effective mechanical solutions. Participate in the commissioning and start-up of new mechanical systems. Requirements Proven experience as a mechanical technician in a utility industry. Strong knowledge of mechanical systems, equipment, and components. Demonstrated ability to read and interpret technical drawings and schematics. Excellent analytical and problem-solving skills. Good communication and interpersonal skills. Ability to work under pressure and handle multiple tasks efficiently. Knowledge of safety regulations and industry standards.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. - Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Preferred duration: at least 6 months. Priority to candidates about to finalise their studies. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: 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 We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology. You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact. Previous experience in life sciences is welcome, but not required for this role. Minimum Qualifications Demonstrated experience training and evaluating large language models Proficiency in Python and familiarity with modern ML development practices Experience building and managing data pipelines for large-scale datasets Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams Preferred Qualifications 8+ years of machine learning experience Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields) Experience working with large-scale biological datasets Published research or practical experience in scientific AI applications or long-horizon reasoning Background in reinforcement learning and/or pretraining Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing Contributions to open-source scientific software or databases 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: $350,000 — $500,000 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: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Configuration Manager - Location: Valencia, Spain - Department: Manufacturing Assurance; Global Manufacturing Organisation - Reports to: Configuration and Change Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: We are looking for a highly skilled Configuration Manager to join our Configuration Management and Change Control team within the Global Manufacturing Organization (GMO). In this role, you will play a crucial part in executing our CM functions across multi-domain environments and ensuring flawless product data integrity for multi-site manufacturing. As a Configuration Manager, your mission is to actively bridge engineering and manufacturing by capturing product information, structuring it effectively, and managing changes throughout the product lifecycle for the local production site. Reporting to the global CM Team, you will act as a subject matter expert, driving configuration consistency and ensuring changes are rigorously controlled and documented within the local site. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.   YOUR DAY-TO-DAY RESPONSIBILITIES   - Execute and support the continuous improvement of the Configuration Management Standard Operating Procedures (CM SOPs). - Establish and manage product baselines for assigned segments, ensuring absolute data consistency across PLM, ERP and MES systems. - Independently manage the day-to-day change management process for assigned projects; process ECRs, ECOs, RFDs, and RFWs, and actively participate in or facilitate Change Control Boards (CCB). - Structure and maintain EBOM/MBOM as well as CIDL/ABCL configurations, ensuring seamless transitions and accurate product breakdowns. - Apply and enforce item classification schemes, part numbering conventions, and product breakdown structures across hardware and software. - Ensure that all relevant personnel at the site are trained on CM processes, workflows, and system usage, and maintain awareness of updates or changes to established procedures. - Act as an ambassador for the PLM and MES platforms, proactively guiding cross-functional teams on CM best practices and effective system utilization to drive adoption, streamline workflows, and protect data integrity. - Collaborate closely with program managers, engineers, supply chain, and quality assurance to resolve configuration issues and maintain integrity. - Track and compile CM metrics, KPIs, and configuration status reports for your assigned projects, identifying risks and proposing solutions. - Adapt CM practices to suit a rapid-paced environment, balancing prototype cycles, design iterations, and multi-program concurrency. WHAT WE’RE LOOKING FOR MUST HAVES: - Engineering background (Bachelor’s in electrical, electronics, mechanical, aerospace, or a relevant engineering discipline). - 4 to 6 years of experience in configuration management or a closely related engineering discipline within the aerospace, defense, or automotive industry. - Working knowledge of configuration management standards (e.g., ECSS-M-ST-40, EIA-649, or MIL-STD-973). - Experience with hardware and/or software configuration management within a multi-domain product environment. - Demonstrated experience processing change documentation and actively contributing to a CCB. - Strong understanding of the distinction between EBOM and MBOM, product breakdown structures, and item classification methodologies. - Hands-on experience with at least one PLM system (e.g., Arena, Windchill, Teamcenter, Enovia, Aras) and familiarity with an MES or ERP system. - Ability to work independently and collaboratively in a fast-paced environment where processes are still maturing. - Fluent in English. Spanish is a plus. NICE TO HAVES: - Familiarity with ground segment or mission operations system architectures. - Exposure to software CM concepts (version control, branching strategies, CI/CD pipelines). - Demonstrated experience in programming and AI tools for creating automations, tools and for day-to-day use - Experience assisting in the implementation or testing of PLM/MES system updates. - Certification or coursework in CM (e.g., CM2, CMIPC, NDIA CM training). - Experience in a manufacturing scale-up or transition environment. APPLICATION PROCESS - Talent Screening - Hiring Manager Interview - Assessment and Presentation - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Merlimau, Melaka, Malaysia Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market. About the role Bradken is seeking a Metallurgist to support metallurgy, quality and process control at our Merlimau manufacturing facility. This is role is suited to someone who has developed a solid foundation in foundry operations and is ready to take greater ownership of day-to-day technical decisions. Reporting to the Technical Lead, you will work closely with production and technical teams across melting, heat treatment, inspection and product quality. It offers the opportunity to deepen your foundry expertise while contributing directly to product quality, manufacturing performance and continuous improvement. What You Will Do Monitor and provide technical support for melting, heat treatment and other metallurgical processes. Review inspection and test results to determine whether products meet customer and specification requirements. Prepare material test certificates, inspection records and technical documentation. Investigate non-conformances and product failures, identify likely causes and recommend practical corrective actions. Work with production teams to resolve quality issues without compromising safety or technical standards. Support material selection, process changes and improvements to existing products. Help improve manufacturing cost and performance through better metallurgical control and problem-solving. Maintain quality procedures, process controls and relevant Quality Management System requirements. Ensure testing and inspection equipment remains calibrated and fit for use. Communicate quality findings clearly to production, technical and sales stakeholders. Participate in Gemba, 5S, safety activities and continuous improvement initiatives across the site. What You Will Bring A degree in Metallurgy, Materials Science is essential At least three years of relevant experience in a foundry, metals manufacturing or similar environment. Working knowledge of melting, heat treatment, metallurgy and material properties. Experience supporting process control, product inspection, quality investigations or non-conformance analysis. Ability to interpret technical requirements and prepare clear reports, procedures and test documentation. A structured approach to problem-solving and the confidence to make sound technical recommendations. Good communication skills and the ability to work effectively with production teams in a hands-on plant environment. Exposure to Lean Manufacturing, Kaizen, Six Sigma or similar improvement methods would be useful.  Current legal right to work in Malaysia. Based in Merlimau or within practical commuting distance, with the ability to attend the Merlimau site daily. What Will Help You Succeed You will be practical, analytical and comfortable working in a hands-on manufacturing environment. You can build effective relationships with production and technical teams, investigate issues thoroughly and communicate clear recommendations. You take ownership of your work, use sound judgement and remain focused on improving quality, process performance and customer outcomes. Why join us? Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions. We offer: Safety first environment and mindset Flexible work options Competitive Total Reward Packages EAP for you and your family How we hire : About Our Screening Process As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them.If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment , you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

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. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in C++ on Linux platform Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Python development experience is also a plus Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-SN1 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: Australia_Melbour_Office Verra Mobility is a global road safety technology business partnering with governments, enforcement agencies and municipalities across Asia Pacific, Europe and the United States. We deliver technology-enabled road safety programs, including red-light, speed, school zone and school bus stop-arm camera solutions. Our work helps influence the everyday choices drivers make, so fewer people are hurt on our roads, and more families see their loved ones come home safely. We are seeking a Technical Product Manager to help drive AI-enabled product delivery across our road safety technology portfolio. This is a hands-on role at the intersection of product, engineering, customers and AI-enabled workflows. Using tools such as Atlas Cloud, Jira, Confluence, Claude Code, Microsoft 365, Power Automate and MCP-enabled workflows, you will turn complex information into clear requirements, delivery priorities and product decisions. You do not need to be a software engineer, but you must be technically literate, confident working with engineering teams and comfortable challenging decisions where design, quality or customer outcomes are at risk. This is a permanent, full-time hybrid role, working from home and our head office in South Melbourne. What you will do Own product outcomes across one or more customer-facing programs. Translate customer, operational and technical needs into clear PRDs, Jira backlog items and decision records. Use AI-enabled workflows for requirements synthesis, document analysis, status reporting and specification development. Work with engineering teams on architecture, integration, security, compliance and delivery decisions. Maintain visibility across scope, risks, dependencies, quality and outcome drift across customer programs. Prepare clear executive, customer-facing and technical documentation. Identify opportunities to reduce manual work through better process design and AI-enabled workflows. What you will bring Experience in technical product management, product ownership, senior business analysis or technology delivery. Strong technical literacy across architecture diagrams, API specifications, compliance frameworks and vendor proposals. Confidence working with engineering teams on software, data, integration, security and delivery decisions. Familiarity with AI workflows, command-line tools or platforms such as Atlas Cloud, Claude Code, Power Automate or MCP-enabled tools. Proficiency with Jira, Confluence and Microsoft 365. Strong written communication across PRDs, requirements, executive updates and decision records. Ability to apply constraint-led prioritisation, turning ambiguity into clear priorities, actions and outcomes. An ownership mindset, with the judgement to challenge constructively, close decision gaps and follow issues through. Customer-facing experience in enterprise, government, regulated industry, road safety, SaaS or systems integration environments would be highly regarded. Who are you? You are a technically curious product professional with a bachelor’s degree in product, technology, business, systems, data, engineering or a related discipline, and 5+ years’ experience across technical product management, product ownership, senior business analysis, technology delivery or a related role. Software engineering experience is not required, but strong technical literacy is essential. Why work with us? Join a global road safety technology business working on solutions that help make roads safer and communities better protected. You will be part of a practical AI-enabled product model, with real scope to shape how technical product work is documented, prioritised and delivered. To apply, click below, submit your resume and a cover letter detailing your suitability for the role. We look forward to your application! We value the unique backgrounds, experiences and contributions that each person brings to our community and encourage and celebrate diversity. First Nations people, those identifying as LGBTQIA+, females, people of all ages, people with disabilities and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: Paris, France; Versailles, France; Saint-Germain-en-Laye, France; Fontainebleau, France; Créteil, France Turn your passion for luxury into a flexible opportunity in Paris. Collaborate with leading brands in fashion, beauty, jewelry, and automotive, and contribute to improving the highest standards of customer experience. This opportunity is ideal for Chinese residents in Paris, fluent in French or English , who regularly engage with premium and luxury brands. 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 15 to 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: Select assignments that match your preferences and profile Visit luxury boutiques in Paris or evaluate online experiences Interact naturally with sales associates as a regular customer Observe service quality, atmosphere, and attention to detail Submit structured feedback through our digital platform 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 of age or older. Must be Chinese or of chinese origin (including Chinese expats, visitors and individuals with Chinese background) 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: Paris, France; Versailles, France; Saint-Germain-en-Laye, France; Fontainebleau, France; Créteil, France Turn your passion for luxury into a flexible opportunity in Paris. Collaborate with leading brands in fashion, beauty, jewelry, and automotive, and contribute to improving the highest standards of customer experience. This opportunity is ideal for American residents in Paris, fluent in French or English , who regularly engage with premium and luxury brands. 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 15 to 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: Select assignments that match your preferences and profile Visit luxury boutiques in Paris or evaluate online experiences Interact naturally with sales associates as a regular customer Observe service quality, atmosphere, and attention to detail Submit structured feedback through our digital platform 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 of age or older Must be American or of U.S. origin (including American expats, visitors and individuals with U.S. background) 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: Lawrenceville, Georgia Pharmacy Technician II 2+ Years Pharmacy Technician experience required. The position starts at $20/hr. Located 1 mile from Sugarloaf Mills, off I-85 between Duluth and Lawrenceville. Monday - Friday 9:30am - 6:00pm (full-time) Excellent benefits (medical, dental, vision, 401k) About Good Pill Good Pill is building the pharmacy of the future for families in Georgia. We believe in putting families’ health first by providing transparent and affordable pricing so that everyone can access the medications they need to stay healthy without breaking the bank. We match the surplus medicine that would otherwise go to waste and work to improve the health of millions through affordable medication! About the Role As a Pharmacy Technician II, you will play an integral role on the core team of a mission-driven, fast growing organization that’s eliminating barriers to health for families in Georgia. You’ll manage incoming medication orders, fill prescriptions and help lead our inventory management. In this role, you will be responsible for… Handling incoming medication orders with precision, selecting the correct medication from our extensive inventory of donated drugs. Accurately filling prescriptions by repackaging donated drugs from unit-dose packaging into patient vials. Overseeing inventory management, including removing expired products, updating inventory software with new items, and ordering essential supplies such as vials and envelopes. Assisting with various administrative and operational tasks as needed. We’re excited about you because… You share our passion for revolutionizing pharmacy services in Georgia, leveraging technology to build scalable solutions that put families' health first. You bring at least 2 years of experience as a pharmacy technician, with bonus points for experience in a high-energy retail setting. You’re excited to be part of a startup team, thriving in a fast-paced environment while driving process improvements and embracing technology to boost efficiency. You’re technology proficient. You have experience using different pharmacy software, customer management platforms, and GSuite and you can easily navigate and troubleshoot. You’re reliable and dedicated. This full-time role requires 40 hours per week, Monday through Friday, 9:30am-6pm. Consistent, punctual attendance and a commitment to high performance are essential. What We Offer Health Coverage: We pay 100% of your medical, dental, and vision insurance premiums, starting the 1st of the month after you join. Paid Time Off: Enjoy over 6 weeks of paid time off, including 2+ weeks of company holidays, 2 weeks of vacation, and 2 weeks of sick leave. Future Planning: Full-time employees receive a 4% match on their 401K, with options for both traditional and Roth 401K contributions. Growth Opportunities: We offer a professional development stipend to help you learn new skills or explore different areas of our organization. Candidates without the following will NOT be considered: COVID-19 vaccination A Georgia Pharmacy Technician license in good standing Experience in all tasks related to filling prescriptions under pharmacist supervision, from entering into software to picking products to repackaging to adding appropriate packaging Passed background check Physical requirements: Able to frequently stand, walk, twist, bend, stoop, squat and use light/fine grasping. Able to frequently sit and stand, reach above shoulders, perform desk based computer tasks, write by hand, lift, carry, push, stack, and pull objects that weigh up to 40 pounds. ***All interview invites are sent via portal. All questions can be directed to jobs@goodpill.org (including checking your application status). Consider adding this email to your contact list so messages are not sent to spam. Please do not call the pharmacy directly. ***