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Location: Paris; Zurich; Madrid; Amsterdam; Warsaw; Linz; Munich; London; Berlin Workplace: Remote 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 TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. AI agents don't run in browsers. They run in sandboxes — and you will lead the team building ours. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to be sandboxed from the world while still feeling fast enough to be useful. That tension — airtight isolation, at fleet scale, at low latency — is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. WHAT YOU WILL DO - Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore. - Own the security boundary. Customers run code they didn't write and can't fully trust — your systems make that safe. - Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments. - Write Go alongside your team and own the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn frontier research needs into shippable primitives. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - Deep Linux internals: namespaces, cgroups, seccomp, virtualization — ideally microVMs of the Firecracker class. - You have shipped production systems in Go. Not dabbled. Shipped. - You understand network isolation at the packet level — not just firewall rules. - Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared. - 8+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. 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: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian Citizens 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. English proficiency is required. French is considered an asset. About the Role We are seeking an experienced CONOPS & Mission Analysis Systems Engineer to lead mission planning, systems engineering, and operational analysis for advanced LEO and MEO satellite programs. In this role, you will develop mission concepts, perform trade studies and mission analyses, define system requirements, and support system integration from concept through on-orbit operations. The ideal candidate has a strong background in satellite mission planning, systems engineering, and cross-functional technical leadership within the aerospace industry. Key Responsibilities Capture stakeholder functional, performance, environmental, and security requirements. Lead workshops and trade studies to define mission objectives and system requirements. Translate mission objectives into traceable system-level requirements. Define and manage spacecraft, payload, and ground segment interfaces, including ICDs and data flows. Develop and maintain the Concept of Operations (CONOPS) across all mission phases. Create mission timelines, operational scenarios, flow diagrams, and supporting documentation. Perform mission analysis, including orbit design, coverage analysis, link budgets, and resource assessments. Evaluate architectural trade-offs involving orbit selection, constellation design, payload configuration, cost, risk, and performance. Develop verification plans, validation procedures, and test matrices. Support system integration, verification, validation (IV&V), and operational readiness activities. Present technical results during major program reviews, including SRR, PDR, CDR, and ORR . Support mission operations, telemetry analysis, contingency planning, SOOH development, and operator training. Maintain configuration control using PLM tools. Support proposal development, technology roadmapping, and business capture activities. Mentor junior engineers and provide technical leadership across multidisciplinary teams. Required Qualifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Physics , or a related discipline. 8+ years of experience in LEO/MEO mission planning, mission analysis, or satellite operations . Strong background in: Systems Engineering Orbit Mechanics Space Environment Analysis Mission Planning and CONOPS Development Spacecraft, Payload, and Ground Segment Integration Hands-on experience with system integration, testing, troubleshooting, and operational support. Experience using Confluence and JIRA . Excellent analytical, communication, and problem-solving skills with the ability to work independently and lead cross-functional teams. English language proficiency is required. Preferred Qualifications French language proficiency. Experience supporting end-to-end satellite mission lifecycle activities. Experience leading technical trade studies and systems engineering reviews. Familiarity with Product Lifecycle Management (PLM) tools and configuration management. Experience supporting commercial or government satellite programs.

Location: Europe; London; Munich; Zurich Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE As a Staff Research Scientist, you will join a team of 40+ researchers and engineers in our R&D department, working on the frontier of generative AI with a focus on avatar-centric, interactive video diffusion models. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that listen, respond, and react like humans. As part of our Interactive Avatars team, you'll build models that hold natural, real-time conversations: understanding what a user says and how they say it, then responding with appropriate turn-taking, backchannels, gaze, and facial and body reactions. You'll join a team that moves fast, iterates often, and turns breakthrough research into product capabilities that ship. WHAT YOU'LL DO - Set the research direction and roadmap for dyadic interaction modeling, balancing long-term bets with near-term product impact. - Advance the state of the art in the perceptual layer of interactive agents, including understanding user audio and video and generating contextually appropriate reactions. - Post-train multimodal models to generate rich, natural dyadic interactions from user audio and video inputs. - Adapt diffusion models to new conditioning signals, such as conversational state, turn-taking, and listener cues. - Build robust evaluation frameworks and test suites for continuous tracking of interaction quality. - Partner with our data team to define data needs and shape high-quality datasets. - Lead and mentor a small group of researchers, and drive technical decisions across research, data, and engineering. WHAT WE'RE LOOKING FOR: - Deep ML expertise and extensive hands-on experience with diffusion models, ideally for video or avatar generation. - A strong publication record at top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH) in areas such as world models, dyadic interaction, or video diffusion, or equivalent demonstrated impact. - Experience leading a small team of researchers and mentoring junior members. - A track record of taking research from idea to production. - Proficiency in PyTorch and modern ML tooling for large-scale training. - Clear communication of hypotheses, experiments, and results, and the ability to influence direction across teams. NICE TO HAVE - Experience with real-time or streaming generation, including autoregressive video diffusion. - Distillation or other techniques for low-latency inference. - Audio-driven facial, gesture, or full-body motion modeling. - Conversational modeling, such as turn-taking, backchanneling, or listener-response generation. Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, OUR CULTURE At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21 SERVING 50,000+ CUSTOMERS (AND 50% OF THE FORTUNE 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers https://www.synthesia.io/case-studies and what 1,200+ people say on G2 https://www.g2.com/products/synthesia/reviews#reviews. PROPRIETARY AI TECHNOLOGY Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. https://www.synthesia.io/research AI SAFETY, ETHICS AND SECURITY AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security https://www.synthesia.io/ethics. THE GOOD STUFF... - Competitive compensation - Hybrid work setting with an office in London, Zurich, Munich, or remote in Europe.  - 25 days of annual leave + public holidays - Great company culture with the option to join regular planning and socials at our hubs - + other benefits depending on your location You can see more about Who we are and How we work here: https://www.synthesia.io/careers https://www.synthesia.io/careers

Location: Commercial Point, OH $750 Sign-On Bonus | Weekly Pay | 35% Babylist Discount | Paid Holidays | Paid Healthcare Benefits What the Role Is At Babylist, we help families prepare for one of the biggest moments of their lives, and our Commercial Point Fulfillment Center is where that promise becomes real. As a Lead Forklift Operator, you're the most experienced person on the equipment and the one others look to for guidance. You'll keep product moving safely and accurately, train new operators, and help the supervisor run the floor. This is a hands-on leadership role: you stay on the equipment and lead from the floor. The schedule for this role is Friday through Sunday 6:00am - 6:30pm at our Fulfillment Center located in Commercial Point, OH. About Pay At Babylist we believe in competitive starting pay and a clear, structured scale that rewards performance and tenure. You'll always know how your pay grows. Starting pay for this role is $25.75 per hour. Sign-On Bonus Earn a $750 sign-on bonus, paid on your first payday after 90 days of employment. You must be actively employed on the payment date to receive the payment. Shift Differential Weekend shift: additional $1.75 per hour Holidays Observed The Fulfillment Center is closed on the following days for the weekend shift in 2026: Christmas Day New Year's Day (2027) All shifts receive 4 floating holidays in addition to the holidays observed, so you can celebrate what matters to you the most, whenever that may be. Who You Are Certified and experienced on multiple lift types: Reach Truck, Cherry Picker, Stand-Up Forklift, and Sit-Down Forklift, with 5+ years of hands-on operating experience Able to train others on equipment and safety: you've onboarded or coached operators and can explain why a procedure exists, not just what it is Safety is non-negotiable, and you hold others to it: you correct unsafe behavior in the moment, respectfully and directly Able to run a section of the floor during volume spikes: you prioritize, reassign tasks, and keep outbound on schedule Comfortable as the link between operators and supervisors: you raise issues early and describe them accurately Steady and dependable: your team counts on you to show up and set the pace How You Will Make an Impact Move, locate, stack, and count materials across the distribution center using the full range of lift equipment Load and unload trailers safely, keeping outbound on schedule and inbound organized Train new operators on equipment, safety protocols, and zone procedures Lead pre-shift safety huddles and assign operators to zones and tasks Complete pre-shift equipment inspections and make sure maintenance needs are flagged Spot and correct hazards, and report incidents and near misses to your supervisor Support inventory accuracy through cycle counts and location checks Escalate staffing, equipment, and volume issues to the supervisor before they affect shipments Physical Requirements Stand and walk for extended periods (up to 10–12 hours per shift) with scheduled breaks Walk the floor extensively, averaging 10,000+ steps per day Lift and move items up to 20 lbs regularly throughout the shift Frequent pushing, pulling, bending, twisting, and repetitive motion Who We Are At Babylist, the work our fulfillment teams do reaches millions of families across the country — whether you're on the floor moving product or leading the operation that makes it happen. We're one of the leading platforms for expecting and new families — a $750M business with 10 million customers and eight consecutive years of profitability. Our fulfillment centers are where the mission becomes real, and the people who run them are a core part of how we deliver on it every single day. Our Ways of Working Our fulfillment teams work on-site in a fast-paced, team-driven environment where every role — from the floor to leadership — plays a direct part in delivering the Babylist experience to millions of families. Why You Will Love Working At Babylist Our Culture Work hard, then recharge — we respect your time on and off the clock Strong management team that supports you and your team The work you do helps millions of families every day We use smart technology to make the job easier and more efficient Growth & Development Clear paths to move up — we promote from within and your performance matters We use data to improve how we work and invest in the people doing it Pay & Benefits Competitive pay $750 sign-on bonus, paid after 90 days of employment Company-paid medical, dental, and vision insurance 401(k) with company match and flexible spending accounts Paid parental leave and PTO Important Notices Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity AI is part of how we work at Babylist — and we expect the same from the people who join us. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. Connections at Babylist If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email it's not us. Verify open roles at babylist.com/careers.

Location: United States Workplace: remote Role Overview: The Content Curation Specialist is responsible for reviewing, validating, and curating written and audio content in line with established SOPs, checklists, and client guidelines. This role ensures accuracy, consistency, and timely processing across assigned queues while adhering to information security standards. Project Details Job Title: Swedish Content Specialist Working Hours:  PST  Duration: 12 Months. Salary/Compensation: $23/HR Location: USA (Remote) Key Responsibilities: Perform daily content curation for written publications and audio content using established SOPs, checklists, and client guidelines. Validate content and metadata for completeness, consistency, and basic accuracy; apply straightforward corrections when covered by guidelines. Identify and document content issues, defects, and bugs in internal tools using required templates and ticketing standards. Escalate unclear, high-impact, or out-of-policy issues to the Team Lead/SME with clear context and supporting evidence. Manage assigned queues to meet defined throughput expectations and turnaround times/SLA requirements. Follow information security, confidentiality, and secure work environment requirements (where applicable). Maintain high attention to detail while completing repetitive or high-volume tasks. Participate in team meetings, calibration sessions, and required training; incorporate feedback to improve accuracy and consistency. #L1-CC1 Required Skills and Qualifications: Native-level or fully bilingual fluency (spoken and written) in the Swedish  language(s) with strong cultural awareness of the Swedish market(s). Exceptional attention to detail and ability to follow step-by-step procedures and quality standards. Basic problem-solving skills (identify the issue, gather evidence, follow the escalation path). Strong time management and ability to consistently meet productivity and quality expectations. Comfortable working with multiple tools and web platforms; ability to learn new systems quickly. Proficiency with MS Office (Outlook, Word, Excel, PowerPoint) and web browsers. Comfortable working in a role that may involve exposure to content some may find sensitive or offensive. Experience: 1–2 years in content operations, content review, digital QA, or a similar field is preferred but not required (role-dependent).

Location: Paris, France Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 Are you ready to spearhead Docebo’s growth across France, Belgium, and Luxembourg (FBL)? As our Account Executive, Mid-Market, you’ll own a high-impact territory, bringing our industry-leading AI learning platform to mid-sized organizations with 1,000 to 5,000 employees. Working alongside a dedicated BDR and marketing team, you’ll act as both a strategic hunter and trusted advisor, displacing legacy incumbents and transforming how companies empower their workforce. This is your chance to build a repeatable growth motion, win market share, and make a massive impact on our regional expansion! THE DAY-TO-DAY 📅 - Spearhead Territory Growth: Build and execute an ambitious account plan across France, Belgium, and Luxembourg, targeting prime 1,000–5,000 employee mid-market accounts. - Hunt Greenfield Opportunities: Drive proactive outbound pipeline generation, identifying whitespace and engaging key target accounts long before formal RFI/RFP processes begin. - Partner for Success: Collaborate daily with your dedicated BDR and Marketing partners to run targeted ABM campaigns, craft sharp localized messaging, and convert high-quality leads into active opportunities. - Master Full-Cycle Execution: Guide deals seamlessly from discovery through commercial close, translating complex customer challenges into compelling, ROI-driven business cases for senior executive stakeholders. - Orchestrate Win Strategies: Act as the commercial quarterback, rallying cross-functional teams—including Solutions Consulting, Legal, Services, and Product—to deliver tailored demos, pitches, and flawless customer handovers. - Outmaneuver the Competition: Position Docebo’s cutting-edge AI platform to clearly differentiate and win against legacy alternatives such as 360Learning, Rise Up, Bealink, Cegid/Talentsoft, and Cornerstone. YOUR SUPERPOWERS ⚡ - Proven Track Record: Demonstrated success closing new business in B2B SaaS, with a history of hitting and exceeding quota in complex mid-market accounts. - Relentless Hunter Mindset: Exceptional account-planning and pipeline-generation skills with an appetite for opening new doors and managing end-to-end sales cycles. - Consultative Selling Mastery: Strong executive presence and the ability to build trust with senior L&D, HR, Talent, and C-level stakeholders while communicating measurable business value. - Cross-Functional Leadership: Natural ability to rally internal teams—including BDRs, Marketing, Solutions Engineers, and Legal—into a cohesive, winning deal team. - Operational Rigor: High CRM discipline, accurate forecasting skills, and a structured approach to mutual action plans and deal progression. - Bilingual Expertise: Native French speaker with fluent professional English, giving you the confidence to navigate local market nuances and internal global collaboration seamlessly. BONUS POINTS 🌟 - Regional Network: Existing relationships or prior experience collaborating with HR/EdTech integration partners, consultancies, and ecosystems across France and Benelux. - Domain Knowledge: Direct experience selling Learning Management Systems (LMS), Learning Experience Platforms (LXP), or broader HR Tech/Workforce Intelligence solutions. - Competitive Displacements: A proven track record of directly displacing legacy Learning and HR Tech platforms in competitive pitch scenarios. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. RESPONSIBILITIES - Push search and agent quality forward through improvements to models, training data, tools, and system design. - Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. - Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. - Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. - Improve retrieval and ranking models and the search interfaces agents use to find and assess information. - Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. - Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. - Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. QUALIFICATIONS - A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. - Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. - Experience designing rigorous evaluations, diagnosing failures, and translating experimental results into practical improvements. - Comfort with open-ended problems that require both research judgment and hands-on engineering. - A strong sense of ownership, curiosity, and the drive to carry an idea through to a working system. NICE TO HAVE - Experience with training models to use tools or complete tasks over many steps. - Multi-agent training, coordination, or evaluation. - Building agent harnesses, distributed training systems, or scalable inference infrastructure. - Large-scale retrieval, ranking, or recommendation systems.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Product Designer to define the next generation of connected member experiences. In this highly collaborative, 0-to-1 role, you’ll establish the UX foundations for emerging products and create intuitive, cohesive experiences that help members better understand and act on their health. You’ll work at the intersection of product experience, software, and systems thinking, partnering closely with Product, Engineering, Design Systems, and Research. You’ll define interaction principles and scalable patterns, navigate complex product and technical constraints, and shape how members experience WHOOP across an evolving ecosystem. RESPONSIBILITIES: - Lead the end-to-end design of new connected member experiences, from early discovery and concept development through production-ready designs. - Define interaction principles, navigation models, information architecture, and scalable UX patterns that create intuitive and consistent experiences across the WHOOP ecosystem. - Design cohesive member journeys across multiple touchpoints, translating complex product capabilities and information into clear, intuitive interactions that prioritize utility and ease of use. - Partner closely with Product, Engineering, Research, Design Systems, and Platform teams to navigate constraints, make thoughtful tradeoffs, and bring high-quality experiences to market. - Prototype and test interaction models, workflows, and product concepts to validate assumptions, accelerate decision-making, and continuously refine the member experience. - Help shape the long-term UX vision for emerging WHOOP products, championing simplicity and contributing to the continued evolution of WHOOP design principles. QUALIFICATIONS: - 7+ years of product design experience, with a portfolio demonstrating end-to-end ownership of high-quality consumer product experiences. - Exceptional UX and interaction design skills, with demonstrated ability to simplify complex problems and workflows into intuitive, member-centered experiences. - Strong systems thinking, including experience developing information architecture, navigation models, reusable interaction patterns, or design frameworks. - Experience designing highly crafted mobile experiences and working across multiple touchpoints, platforms, form factors, or interaction paradigms. - High proficiency in Figma and prototyping, with the ability to use prototypes to explore ideas, communicate interaction models, and accelerate product decisions. - Strong communication and storytelling skills, with demonstrated success partnering with Product, Engineering, Research, and other cross-functional teams to influence product direction and bring complex experiences to market. - Passion for health, fitness, and building products that empower people to better understand and improve their daily lives. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $175,000-$220,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Paris 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 ROLE We are hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models (LLMs), agentic AI, and deep learning frameworks to solve open problems in the natural sciences: Biology, Chemistry, Physics, and/or Materials Science. Your work will empower scientists with cutting-edge AI tools and accelerate research through: - Model-centric innovation: Improving LLMs’ capabilities to tackle complex scientific problems (e.g., literature synthesis, autonomous experimentation, rigorous derivations). - Cross-disciplinary collaboration: Partnering with Natural sciences domain experts to translate AI advancements into real-world scientific impact. WHAT YOU WILL DO - AI/ML Research: Participate in end-to-end training of LLM-based solutions, with a focus on scalability, generalization, and scientific applicability. - Data creation: Design original workflows to accumulate high quality scientific data at scale, either through synthetic or crowd sourced pipelines. - Algorithm Design: Use and improve reinforcement learning, or agentic systems tailored to Natural sciences challenges (e.g., modeling resolution, material property prediction, advanced data analysis and coding). - Interdisciplinary Bridge: Work closely with domain scientists to identify AI opportunities and refine models based on feedback. - Tooling & Infrastructure: Contribute to company infrastructure to improve usability for model training in scientific contexts and open-source AI tools for science for non-AI experts. - Autonomous Innovation: Set a research agenda for AI in science, exploring high-risk/high-reward ideas.   WHAT WE'RE ARE LOOKING FOR - AI/ML Expertise: Strong background in LLMs, deep learning, or agentic AI, with a track record of applying these to real-world problems (publications, open-source contributions, or deployed systems) – at the minimum extensive experience in computer science and ideally experience scaling synthetic data generation. - State-of-the-art Knowledge: Familiarity with the latest advancements in LLM architectures and post training. - Technical Depth: Hands-on experience with PyTorch/TensorFlow/JAX, model optimization, and scaling techniques (e.g., fine-tuning, RLHF). - Scientific Capability: Ability to understand 1 Natural Science domain at a high level (e.g., graduate level specialization + general undergrad knowledge) to design effective AI solutions. - Engineering Rigor: Proficiency in scientific computing (e.g., numerical methods, HPC) and software best practices. - Collaboration: Experience translating technical AI concepts for non-experts (e.g., scientists, engineers) and iterating based on user needs. - Mindset: Low ego, team player, and eager to tackle operational challenges (e.g., data pipelines, model deployment). MOTIVATIONAL PARAGRAPH When applying for the AI for Science team at Mistral, please describe in a short paragraph a potential project that you would like to contribute to the team, why it is challenging and interesting in general, and more specifically for Mistral. Please also highlight the specific skill set that you can bring to the team. 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: Russia Workplace: remote 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. THE ROLE We are hiring a Senior Frontend Engineer for two platform products: Xsolla ID is the identity and authentication platform behind sign-in, account management and SSO across Xsolla products. Xsolla ZK is Web3 wallet infrastructure: smart wallets and account abstraction on a zkSync-based L2. Both products sit on users' most sensitive flows: logging in and signing transactions. Responsibilities WHAT YOU WILL OWN The frontend of your product area end to end: shaping tasks with Product and Design, implementation, release and production monitoring Technical decisions for that frontend. You make them and justify them in writing, rather than only implementing someone else's The architecture of frontend applications and the shared UI library / SDK that other teams build on Measurable frontend quality: performance, reliability and security of user flows WHAT YOU WILL DO Design and build user flows: sign-in, account management, wallet onboarding and transaction signing Track how these flows behave in production (errors, performance, drop-offs) and act on what you see Make architectural decisions for frontend applications and document them Develop the shared component library and frontend SDKs used by other Xsolla teams Agree API contracts with backend engineers, including error handling, retries and edge cases Own performance budgets: Core Web Vitals and bundle size Improve the engineering environment: build, linters, tests, CI Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Nice to have Language and platform 5+ years of commercial frontend development TypeScript in strict mode: generics, utility types, discriminated unions, typing module boundaries and external data JavaScript at the platform level: event loop, asynchrony, closures, memory. You can find a leak and explain its cause Frameworks and state Deep experience with React: rendering model, profiling, eliminating unnecessary re-renders Separating local, server and global state, and justifying the choice of tool; reasoning about when SSR is worth it UI quality and performance Semantic, responsive, cross-browser layout; modern CSS (CSS Modules, CSS-in-JS) Accessibility: ARIA, keyboard navigation, screen reader support Performance analysis: profiling, bundle analysis, Core Web Vitals Integration and security REST API integration: error handling, retries, request cancellation, contract alignment with backend Web security fundamentals: XSS, CSRF, CSP, secure handling of tokens, sessions and user data Engineering practices Testing at the right level: unit, integration, E2E Git, CI, Docker, linters and formatters AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Reading technical documentation in English Experience in security-sensitive domains: authentication and identity (OAuth2/OIDC flows on the frontend), payments, crypto wallets Web3 frontend: wallet integration (embedded and browser wallets), EIP-1193, EIP-6963, EIP-712; viem, wagmi, ethers.js Next.js or Nuxt, SSR in production Design systems and component API design, UI kits Hybrid applications: WebView, React Native HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, frontend and backend engineers, and QA. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: US - Hybrid - Massachusetts - Boston, US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: The Services Architect is an advanced individual contributor within the Services Architecture team, contributing to the technical direction, quality, and delivery of content across the Professional Services Portfolio. Operating with a high degree of autonomy while aligning with the overarching portfolio strategy, this role leads the design and execution of net-new consulting service offerings, courses, and enablement programs, and helps establish standards for the broader team. In this position, the architect provides technical guidance across team projects, handles content and offering escalations, and actively mentors Associate Services Architects. Working in close collaboration with portfolio leadership, the role supports offering strategy and product roadmap alignment, while periodically teaching customer classes or delivering service engagements to ensure content remains grounded in real-world customer experience. Your Opportunity: Strategy & Portfolio Leadership Portfolio Direction: Shape the Professional Services Portfolio by identifying gaps and opportunities and proposing and prioritizing new offerings aligned with corporate strategy and product roadmaps. Offering Ownership: Design, draft, and update consulting service offerings, enablement content, educational material, and technical presentations for webinars and events, and lead development of the most complex and strategic net-new offerings. Standards & Quality: Maintain high technical, content, and lab quality standards across the portfolio, ensuring that project outputs and contributions, including work from Associate Services Architects, consistently adhere to established team standards and templates. Roadmap Alignment: Stay informed about Tenable product changes, evaluate requirements for offering updates, and plan portfolio updates well ahead of product release. Advisory: Advise the Senior Director, Services Portfolio, on offering strategy, resourcing, and delivery risk. Content Development & Delivery Requirements Review: Review user and technical requirements for completeness and clarity. Collateral: Create collateral for new offerings and evaluate existing offerings and content for accuracy and relevance. Pre-Production Training: Deliver pre-production training sessions to evaluate product suitability and gather early feedback. Live Demonstrations: Create live demonstration recordings for the Tenable product suite. Content Review: Perform content reviews with peers in Services, Technical Support, Customer Success, and Product Management to ensure quality and alignment with customer needs, and act as the final technical approver for release. Customer Experience: Periodically teach customer classes or deliver service engagements to obtain intimate knowledge of the customer experience. Strategic Engagement & Support Field Perspective: Collaborate with Professional Services peers to understand the field perspective on service and training offering requirements. Customer & Partner Engagement: Engage with customers and partners to analyze market trends and the competitive landscape, and translate findings into portfolio decisions. Problem Solving: Provide solutions to a wide range of difficult problems while maintaining a positive attitude and positive working relationships, gathering information to support data-driven decisions. Escalation Support: Act as the final escalation point for Customer Care, Services, and Product escalations relating to portfolio content that the Associate Services Architect cannot resolve. Staying Current: Remain abreast of corporate direction and strategy, product roadmaps, messaging, and emerging trends in the security industry. Project, People & Process Delivery Oversight: Independently manage assigned projects and provide delivery oversight of team members’ projects to ensure delivery on schedule and on budget. Mentoring: Mentor and develop Associate Services Architect colleagues, including setting expectations for the Associate role’s intake and review. Process Improvement: Remain abreast of educational learning frameworks, content development approaches, and technologies that may reduce cost or shorten development timelines, and drive adoption where they do. Other Duties: May perform other duties and responsibilities that management may deem necessary from time to time. What You'll Need: Experience Security Foundations: 5+ years of overall experience in Information Security. Vulnerability Management & Cybersecurity: 1+ years of experience in vulnerability management and broader cybersecurity operations, ideally utilizing enterprise assessment tools such as the Tenable product suite. Services Experience: 3+ years of professional services, technical support, or sales engineering experience. Curriculum Design: Proven experience designing and delivering technical curricula, training, and customer enablement programs, as well as leading others to do so. Knowledge and Education Education: B.S. degree in Computer Science or a related field preferred; equivalent experience considered. Technical Depth: In-depth knowledge of Windows and Linux operating systems and of TCP/IP networking. Emerging Domains: Working knowledge of web application security, container security, cloud environments (AWS/Azure), and ICS/SCADA systems, with in-depth expertise in at least one. Security Tools: Familiarity with security assessment tools such as Nessus, Kali Linux, and Metasploit. Other Requirements Communication: Strong written and verbal communication skills, including the ability to present to senior internal and customer audiences. Collaboration: Strong interpersonal skills with the ability to work effectively with internal and external stakeholders, including at a senior level. Autonomy: Strong initiative and the ability to work remotely, both in a self-directed manner and as part of a geographically distributed team, setting direction for others without day-to-day supervision. #LI-Hybrid #LI-MS1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $145,000 — $193,666.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.   The team To sustain the company's growth, Ledger is looking for a Senior Scala Backend Engineer to join the Cloud Wallet team. This team builds and operates the backend services that power blockchain account management, transaction processing and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to Ledger Enterprise, the custody platform used by financial institutions. Every client transaction goes through these services, and so does every new blockchain Ledger supports. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions.   What you’ll be doing - Design, build and operate the Scala services that connect Ledger wallets and the Ledger Enterprise platform to blockchain backends: account creation, operation history, transaction crafting, broadcast and lifecycle tracking. - Lead new blockchain integrations end to end, from the integration design (ADR) to production, across account-based, UTXO and privacy-preserving chains. - Own production quality on your scope: SLIs and SLOs, observability, distributed tracing. Take part in the firefighting rotation and drive incidents to resolution, including those raised by institutional clients. - Define clear contracts with the Coin Integration and Ledger Enterprise teams, for example where UTXO selection lives or how transaction states are exposed to consumers. - Write and review ADRs, challenge designs, and raise the bar on code quality, testing (including end-to-end on testnets) and technical debt management. - Work in an AI-native way: use coding agents daily, write the specifications, constraints and verification that let them deliver safely, and contribute to the team's AI tooling. - Mentor other engineers and share your knowledge across the Backend Blockchain community.   You will collaborate cross-functionally with: - The Coin Integration team for coin modules and new blockchain integrations. - The Ledger Enterprise team, main consumer of the team's services for institutional custody. - The Ledger Wallet, Ledger Button and Wallet XP teams as consumers of the team's backend APIs. - The Blockchain platform team for data model alignment, indexing and event streaming. - The Infrastructure and SRE teams for deployment, reliability and scalability. - The Security team (Donjon) for vulnerability analysis and remediation. - The Product team for roadmap prioritization and customer-driven requirements.   What we’re looking for - 5+ years of backend engineering, with real production ownership of distributed systems. - Strong production experience - Interest for Scala and functional programming practice - Hands-on blockchain integration experience: transaction lifecycle, fees, finality, reorgs, on at least two models among account-based, UTXO and privacy-preserving chains. - Experience with event-driven systems and data infrastructure (PostgreSQL, RabbitMQ, NATS or equivalent) and with observability tooling (Datadog or equivalent). - Able to diagnose an incident across several services and own the outcome, from root cause to fix in production. - Comfortable reading and contributing to TypeScript code, as the team works on a polyglot stack. - Daily use of AI coding tools, with a critical eye on their output. - Clear written communication in English, especially for design documents and incident reports. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: Munich; Warsaw; 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. THE ROLE The Inference Foundation team owns the core of Mistral's inference stack: the inference engine and its orchestration, from the feature set and configuration that serve our models in production to the release machinery that keeps the stack current and production-grade. This is a hybrid position spanning production LLM serving, engine and platform development, and capacity engineering. You will work on three intertwined problems: 1. Optimize the inference stack at scale — feature development and fixes in the engine and orchestrator, squeezing more throughput and lower latency out of every GPU under strict quality-of-service targets. 2. Make capacity elastic — scaling up and down should be cheap and fast, not a performance cliff. 3. Power the training of our frontier models — high-performance serving that keeps RL and post-training loops running at full speed.   What You Will Do INFERENCE ENGINE & ORCHESTRATION - Develop and fix the core of the inference stack — engine and orchestrator — including feature selection, configuration, and tuning for maximum performance at scale - Own the release process for the serving stack: validated, regression-free releases through automated performance gates and progressive rollout - Drive improvements and fixes upstream when the open-source engine is the right place for them PERFORMANCE & CAPACITY AT SCALE - Optimize serving efficiency across the fleet — driving down pod startup time, tackling cold-cache regressions on scale-up, smarter caching and offloading - Optimize and maintain the optimal serving topology — overlap communication and transfers with computation, ensure optimal placement, connectivity, and routing SERVING FOR FRONTIER TRAINING - Build the serving infrastructure that powers RL and post-training for our frontier models - Optimize inference performance across the full spectrum of our workloads   What We're Looking For - Experience building and running ML/LLM services at scale, with clear latency and availability targets - Hands-on experience with inference engines such as vLLM, SGLang, TensorRT-LLM, or others - A solid grasp of inference internals: prefill vs. decode, KV-cache behavior, batching, scheduling, speculative decoding, parallelism strategies - Familiarity with distributed and disaggregated serving architectures - Comfortable debugging across the full stack — CUDA/NCCL, kernels, containers, networking, storage - Python for systems tooling and backend services; PyTorch - Kubernetes for running infrastructure at scale - GPU and networking fundamentals: CUDA runtime, NCCL, InfiniBand/RDMA It Would Be Great If You Have - Demonstrated vLLM/sglang know-how — upstream contributions, or a track record of running in demanding production environments - Hardware-aware optimization for various model architectures - Experience serving MoE models at scale (expert parallelism, expert placement/load balancing) - CUDA/Triton kernel development; Nsight Systems/Compute profiling - Rust and/or C++ in production systems 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 Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building a dedicated function to drive its partnerships across the AI ecosystem — labs, AI-native companies, and the investor community — and convert those into real technical and commercial outcomes. This is a newly created, high-visibility role that sits at the intersection of strategic business development, product partnership, and ecosystem relationship-building. Ramp is already embedded with key partners across the AI ecosystem, from working with leading labs on the latest models to serving as a design partner for emerging product capabilities. This role exists to deepen those relationships across every major lab and AI-native company, and turn them into something commercially meaningful. There is no playbook for this. This person will own and grow Ramp's most strategic relationships across the AI ecosystem, leading the technical side of those relationships end to end with partner product and engineering teams. The mandate spans product integrations, technical partnership strategy, deal-making, co-selling, and the creation of new revenue channels, pairing real product and engineering depth with commercial execution and ecosystem credibility. WHAT YOU'LL DO - Demonstrate technical depth to lead AI product and integration conversations end to end with partner engineering and product teams. - Own Ramp's relationships with emerging labs and AI-native companies at a true partnership level — not account management - Be embedded in the San Francisco AI community and know who is actually driving decisions at the labs, not just what the org chart says - Convert ecosystem relationships into commercial outcomes — referrals, integrations, co-selling, and new revenue channels - Do both the business development and product/integration work, combining deal-making with genuine technical engagement - Stay ahead of how leading AI companies are commercializing and going to market, and help Ramp move with them — and ahead of them - Represent Ramp externally across the San Francisco AI community: founders, investors, lab leaders, and operators WHAT YOU'LL NEED - Deep, trusted relationships at leading AI companies with the people who make decisions and influence direction — not just formal contacts - Commercial outcomes tied to those relationships, including initiatives with measurable revenue potential and smarter product integrations on both sides - Ramp is known and respected across the San Francisco AI community as a must-know fintech partner - Ramp keeps pace with — and ideally stays ahead of — how quickly the labs are changing, evolving their go-to-market strategies, and commercializing - A repeatable business development and product motion built for the AI ecosystem, not a series of one-off partnerships - An ever-evolving AI partnership strategy that includes sourcing, negotiating, contracting, executing, and growing relationships with leading AI companies Over the course of a year, success means launching public products, integrations, go-to-market initiatives, and distribution channels with labs and applied AI companies. Near-term objectives could include inclusion in model-launch announcements and joint product-integration launches. Longer-term goals will incorporate adoption of integrations and revenue targets as distribution partnerships are executed. Every day will look different, but the work will include meeting with cross-functional stakeholders internally and externally, keeping a pulse on applied AI and the labs, negotiating active contracts, refining and executing Ramp's AI partnership strategy, and helping Ramp get closer to the teams that matter at the top AI companies. NICE TO HAVES - The ideal candidate combines two qualities that are hard to find in one person: ECOSYSTEM CONNECTOR - Deep personal relationships in the San Francisco AI community — founders, lab leaders, and investors — at a level where people pick up the phone - Experience working inside or alongside leading AI partners in a way that provides genuine credibility, not just familiarity - Known and trusted by the venture capital and investor community in AI COMMERCIAL OPERATOR - Has built partnerships from zero at a high-growth company and been accountable for commercial outcomes - Can do the product and business development work simultaneously — technically fluent enough to engage on integrations and commercially sharp enough to close deals - Has a builder mindset and can design scalable programs, not just one-off relationships KEY CRITERIA - Strategic business development — can identify and close partnerships that drive real commercial outcomes - Technical aptitude — enough depth to hold credible conversations with AI lab and product teams - Systems thinking — builds scalable programs, not just one-off deals - Access — personal relationships at the decision-maker level inside labs, AI-native companies, and the investor community WHY THIS ROLE IS EXCITING - Ramp's AI partners are among the most influential partners any technology company can have right now. Getting this right matters enormously. - There is no playbook. Anyone who can do something distinctive here will create a significant advantage — for Ramp and for their own career. - This is one of the few roles that is genuinely AI-focused at a leading company in AI and technology. - Ramp is already embedded with leading AI companies and is ahead of the curve in building this function. The groundwork is there. - Ramp will give this person real runway — not a constrained, narrow mandate. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The next generation of revenue organizations will look very different from today's GTM teams. We're looking for a Revenue Enablement leader to help build that future, moving beyond traditional training delivery to create an AI-powered operating system that scales our revenue organization. This is not a conventional enablement role. As AI changes how products are sold, how reps learn, and how work gets done, you'll define the right balance of human and AI effort across our go-to-market teams and design the team and workflows to match. What will I be doing? Building the future of revenue execution Build a next-generation enablement function for an AI-native company, shifting from reactive training to intelligent systems that improve execution, productivity, and customer outcomes Design scalable operating models that keep pace with fast product and GTM cycles Embedding AI across the revenue lifecycle Identify high-impact opportunities in sales workflows, onboarding, coaching and feedback, product launches, customer interactions, and knowledge management Work with RevOps, Product, and Engineering to deploy AI-native tools, and drive adoption across Sales, Solutions, Partnerships, and Customer Success Connecting product to field readiness Integrate launch cycles, positioning, competitive intelligence, and field readiness so revenue teams can pivot quickly as products and customer needs evolve Leading organizational change Shape how team structures, roles, workflows, and processes evolve as we move to AI-first ways of working Lead change management, and advise executive leadership on the long-term strategy for revenue execution What skills do I need? 15+ overall years of experience, 5+ years of leading enablement teams at a technology company. Track record building or evolving enablement, GTM operations, or revenue systems functions in high-velocity SaaS or AI-native environments Mastery of strategic revenue systems, including: Complex revenue workflows High-velocity product launch cycles Next-generation GTM execution Precision sales productivity systems Hands-on experience operationalizing AI-powered tools and workflows across the revenue lifecycle Strong cross-functional partnership with Product, Engineering, PMM, Sales, and RevOps Ability to combine systems thinking with fast execution Experience leading complex organizational change We're intentionally looking beyond traditional enablement backgrounds. Strong candidates may come from GTM strategy and operations, commercialization, product operations, AI workflow design, or product-led GTM. You might be a fit if you: Think in systems and adapt quickly Thrive in ambiguity and enjoy building where no playbook exists Believe AI will fundamentally reshape how revenue organizations operate *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $310,000 - $332,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: București, Romania Workplace: hybrid EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for Commercial Business Analyst to join our team in Bucharest! About the job: We are looking for a highly analytical and commercially minded Commercial Business Analyst to own the planning, forecasting, quota setting, and performance measurement processes across the commercial organization. This role sits at the center of commercial decision-making, translating business strategy into measurable targets, accurate forecasts, effective territory structures, and performance-based incentive plans. The successful candidate will partner closely with Sales, Account Management, Leadership, Finance, and Strategy teams to ensure the commercial organization is aligned around clear goals, transparent performance metrics, and sustainable growth. This person owns the numbers: forecasting, targets, quotas, and the mechanisms that drive commercial performance. Responsibilities: Own the end-to-end commercial forecasting process across product lines, customer segments, and regions. Develop and maintain forecasting models that provide visibility into revenue attainment, pipeline performance, and growth opportunities. Lead monthly, quarterly, and annual forecasting cycles. Manage reforecasting activities and provide recommendations based on business performance and market developments. Deliver insights and scenario modeling to support executive decision-making. Design and manage the annual quota-setting process for Sales and Account Management teams. Establish targets that are aligned with business objectives, market potential, and growth expectations. Develop data-driven quota methodologies using historical performance, market sizing, and territory potential. Track quota attainment and identify risks and opportunities throughout the fiscal year. Ensure fair and balanced quota distribution across teams and regions. Design, maintain, and optimize commercial compensation and incentive programs. Partner with leadership, HR and Finance to ensure compensation plans drive desired business outcomes. Perform compensation modeling and impact analysis. Monitor incentive plan effectiveness and recommend adjustments to improve performance and alignment. Ensure governance, transparency, and accuracy in compensation calculations and reporting. Own territory planning and account segmentation frameworks. Define and maintain account allocation strategies aligned with commercial goals. Analyze market opportunity and account potential to optimize territory coverage. Ensure territories and account assignments remain scalable and balanced as the business grows. Define and maintain commercial KPIs and success metrics related to the forecast and targets. Build dashboards, reports, and performance reviews that provide visibility into commercial performance. Deliver regular business reviews highlighting forecast accuracy, quota attainment, revenue performance, and commercial productivity. Identify trends, risks, and opportunities through data analysis and actionable insights. Partner closely with Finance on revenue planning, forecasting, and governance processes. Collaborate with Commercial Leadership and CEO office to align targets with strategic priorities. Support annual planning exercises and long-term growth planning initiatives. Drive consistency, governance, and data quality across commercial performance management processes. Requirements: 3-5 years of experience in Commercial Operations, Revenue Operations, Business Analytics, Sales Operations, Financial Planning & Analysis, or a similar analytical role. Strong experience with forecasting, quota setting, compensation planning, or commercial planning. Advanced analytical and financial modeling skills. Advanced proficiency in Excel and business intelligence tools (Power BI, Tableau, Looker, or similar). Experience working with CRM platforms such as Microsoft Dynamics, or similar. Strong stakeholder management and communication skills. Ability to synthesize complex data into clear recommendations for leadership. Project Management and Management of Change skills as a plus Preferred Qualifications Experience in a B2B SaaS, technology, software, or high-growth commercial environment. Experience with territory planning and market sizing methodologies. Familiarity with revenue operations and commercial performance frameworks. Experience supporting global or multi-regional commercial organizations. What You'll Be Known For Owning the commercial operating model. You will be the trusted source for forecasts, targets, quotas, incentives, and performance reporting, ensuring the commercial organization has the data, structure, and insights required to achieve its growth ambitions. You own the numbers. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Hybrid work schedule is available after the first three months of employment, in line with the company policy. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and a budget for external training. Access to an Employee Assistance Program through TELUS Health. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Remote, Worldwide; Remote - Europe Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced Spanish (Spain) to English (GB or US) linguists to support a high-volume, fast-turnaround pharmacovigilance program for a leading global pharmaceutical company. Work involves translating and reviewing safety and regulatory content, including adverse event reports and related clinical documentation, with strict turnaround times and deadlines.  This is an ongoing freelance engagement with daily volumes. Key Responsibilities Translate Pharmacovigilance and/or Clinical-regulatory content from Spanish into English. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit review of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive safety content. Requirements Degree in translation, linguistics or languages studies or an equivalent degree that includes significant  translation training. Minimum 2 years of professional experience translating medical documentation, specificially with experience and knowledge in Pharmacovigilance and/or Clinical-Regulatory content. Experience translating pharmacovigilance content preferred: SAE/AE (serious and non-serious adverse events), PSURs, SUSARs, ICSRs, DSURs, Risk Management Plans (RMP). Alternatively, experience translating regulatory or clinical documents: medical reports, protocols, synopses, ICF, discharge reports, study reports, SmPC, PIL, or medical literature. Great daily availability: this program requires consistent daily capacity and is not suited to part-time schedules. Strong Spanish proficiency; native level of English preferred but not mandatory. Experience with XTM or similar CAT tools. Reliable, deadline-driven, and flexible, able to commit to fast turnaround times with no extensions. Nice to Have Healthcare professional (HCP) background: nurse or physician preferred, especially with emergency room experience. Other HCP backgrounds also welcome. Willingness to commit to daily and/or weekend availability. Tools & Systems CAT tool: XTM, client-provided license; onboarding and connector setup provided after onboarding.   Job Reference: #LI-JC1

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .