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Location: Czechia About Flosum Flosum is a leading Salesforce-native DevOps platform that enables enterprises to manage and accelerate their Salesforce development lifecycle with security, compliance, and efficiency at scale. Built entirely on Salesforce, Flosum empowers teams to streamline releases, improve governance, and drive faster innovation. Role Overview We're looking for a driven, relationship-first Account Manager to own and grow a portfolio of enterprise accounts. You'll be the primary point of contact for a set of high-value customers — responsible for renewal, expansion, and long-term success. You'll partner closely with Sales, Customer Success, and Product to ensure our customers see measurable impact from our platform and grow with us over time. Requirements Own a portfolio of accounts, managing the post-sale lifecycle including QBRs, renewals, and expansions. Build and maintain multi-threaded relationships across economic buyers, executives, and champions within each account. Proactively identify upsell and cross-sell opportunities and drive net revenue retention above 120%. Partner with Customer Success Managers to ensure product adoption, time-to-value, and health scores are on track and gross revenue retention above 93%. Lead executive business reviews and translate platform data into business-relevant insights for C-suite stakeholders. Forecast renewal and expansion revenue accurately in Salesforce on a monthly and quarterly basis. Serve as the voice of the customer internally — surfacing product feedback, risks, and opportunities to Product and Leadership. Navigate complex contract negotiations and procurement cycles with legal and finance stakeholders. Required Qualifications 6+ years in Account Management, Sales, or a quota-carrying role in B2B SaaS Demonstrated track record of meeting or exceeding GRR, NRR, upsell, and renewal targets on enterprise accounts ($100K+ ACV). Strong executive presence — comfortable engaging VP and C-level stakeholders in strategic conversations. Experience managing complex, multi-stakeholder accounts with long sales cycles. Excellent written and verbal communication skills; ability to build trusted advisor relationships. Strong commercial acumen — able to construct ROI narratives and business cases for expansion. Experience working with SaaS platforms, preferably in the Salesforce ecosystem Strong understanding of Salesforce (Admin, DevOps, or development lifecycle concepts preferred) Preferred Qualifications Experience with Salesforce DevOps tools or release management processes Familiarity with CI/CD, version control, or agile development practices Background working with enterprise customers Salesforce certifications (Admin, Platform App Builder, etc.)

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

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

Location: Paris; 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 As a Code Data Annotation Quality Specialist on the Human Data Annotation team, you will play a dual role in ensuring the quality of code annotations and maintaining the tools that support annotators. This role exists to uphold the highest standards for data used in training and evaluating AI models, while also improving the workflows and tools that enable efficient annotation. You will spend most of your time reviewing and auditing annotations against rubrics, with the remainder focused on building, maintaining, and troubleshooting internal tooling. Your collaboration with annotators, technical program managers, and engineers will help refine the guidelines and processes that shape how our data is produced. WHAT YOU WILL DO - Generate and validate high-quality data annotations based on guidelines and continuous feedback. - Surface systemic issues, edge cases, and gaps in guidelines to annotation operations and technical stakeholders. - Produce annotations yourself to model the quality bar expected of the team. - Build and maintain internal tools and automation to streamline annotator workflows, such as dashboards, scripts, and utilities. - Troubleshoot environment, tooling, and version control issues for annotators, liaising with IT and engineering as needed. - Collaborate with stakeholders to refine guidelines and processes for data production. WHAT WE'RE LOOKING FOR - A degree in computer science, engineering, or a related field, or 2 to 5 years of professional experience in software engineering, technical support, or tool development. - Hands-on experience using code agents in your development workflow and a genuine interest in their evolution. - Proficiency in at least one programming language (e.g., Python, JavaScript), with the ability to read and reason about code across multiple languages. - Ability to apply consistent judgment against a rubric and identify edge cases, ambiguities, or gaps in guidelines. - Sustained focus and accuracy for detail-oriented, high-volume review work. - Comfort working in a Unix-like terminal, including shell basics, package managers, environment setup, and version control workflows. - Ability to troubleshoot local development environment issues across common operating systems. - Professional proficiency in English, with strong writing and comprehension skills. 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: Copenhagen, Denmark About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Om rollen Vi udvider vores forretning i Danmark og leder efter en Sales Manager til at joine vores erfarne salgsteam i København. Som Sales Manager får du en central rolle i at vækste Wolt i Danmark – ved at onboarde nye restaurant- og retailpartnere til vores platform. Du ejer hele salgsprocessen fra første kontakt til underskrevet aftale og bliver en vigtig del af vores fortsatte ekspansion. Du kontakter potentielle partnere via telefon og mail for at booke møder – og besøger dem derefter personligt for at præsentere Wolt og skabe stærke relationer. Dine ansvarsområder Eje og drive din egen portefølje af potentielle samarbejdspartnere, som du systematisk kontakter og følger op på Booke og afholde møder med restauranter og retailpartnere (fx kiosker, bagerier, convenience og blomsterbutikker) Arbejde ud fra København og på tværs af hele Sjælland for at udbygge Wolts tilstedeværelse i alle vores byer Planlægge dit arbejde effektivt – og være villig til at tage 1–2 overnatninger om måneden, når det giver mening for at dække dit område bedst muligt Forhandle kommercielle vilkår og sikre en grundig overlevering til vores Partner Onboarding Team Samarbejde med resten af salgsteamet om at forbedre salgsmetoder og dele best practices Træffe solide forretningsbeslutninger baseret på både data og din kommercielle intuition Hvem er du? Du er en ægte hunter med minimum 3 års dokumenteret erfaring indenfor B2B-salg Du trives i et performanceorienteret miljø , hvor du sætter ambitiøse mål og fejrer succeser sammen med teamet Du har en can-do attitude og trives i et tempofyldt miljø Du er en stærk kommunikator og har solid kommerciel forståelse Du taler og skriver flydende dansk og engelsk (bemærk; dine første interviews vil være på engelsk) Erfaring med CRM-systemer (fx Salesforce eller Pipedrive) er en fordel Kendskab til hotel-, restaurant- eller detailbranchen er et plus Hvem er vi? Du bliver en del af et dynamisk og erfarent salgsteam bestående af 8 Sales Managers, hvoraf 5 er baseret i København og 3 i Aalborg, som alle arbejder tæt sammen på tværs af Danmark. Teamet består af engagerede Sales Managers, der alle brænder for at skabe vækst for vores partnere – og for at gøre Wolt til det foretrukne valg for både restauranter og retailbutikker. Hvad Wolt tilbyder Hos Wolt får du: En rolle med stort ansvar og indflydelse , hvor dine resultater kan ses direkte på væksten Et stærkt fællesskab med ambitiøse og hjælpsomme kolleger Muligheden for at blive en del af en hurtigt voksende international virksomhed , der kombinerer lokalt kendskab med global rækkevidde Et kulturmiljø præget af tillid, frihed og ejerskab , hvor du kan udvikle dig fagligt og personligt Næste skridt Vi gennemgår ansøgninger løbende, så ansøg allerede i dag. Har du spørgsmål til stillingen, er du velkommen til at kontakte [indsæt navn / titel]. Bemærk: Vi accepterer ikke ansøgninger via e-mail af hensyn til GDPR. Ansøg venligst via vores karriereside. (En) Sales Manager – Denmark About the role We’re expanding our business in Denmark and are looking for a Sales Manager to join our experienced sales team in Copenhagen. As a Sales Manager, you’ll play a key role in growing Wolt in Denmark by acquiring new restaurant and retail partners to our platform. You’ll own the entire sales process - from the first contact to a signed agreement - and be an essential part of our continued expansion. You’ll reach out to potential partners via phone and email to book meetings - and then visit them in person to present Wolt and build strong, lasting relationships. What you’ll be doing Manage your own portfolio of potential partners, driving outreach and systematic follow-ups Book and conduct meetings with restaurants Work primarily out of Copenhagen while covering all of Zealand to expand Wolt’s presence across our cities Plan your time efficiently and be flexible to travel - with 1-2 overnight stays per month when needed to cover your area effectively Negotiate commercial terms and ensure a smooth handover to our Partner Onboarding Team Collaborate closely with the rest of the sales team to share best practices and continuously improve our sales approach Make sound business decisions based on both data and your commercial intuition What we’re looking for A true hunter with a proven track record in B2B sales (minimum 3 years) Someone who thrives in a performance-driven environment , setting ambitious goals and celebrating success together A can-do attitude and the ability to thrive in a fast-paced setting Strong communication skills and solid commercial understanding Fluent in Danish and English (note: your initial interviews will be conducted in English) Experience working with CRM systems (e.g. Salesforce or Pipedrive) is a plus Experience within the hospitality, restaurant, or retail industry is an advantage Who we are You’ll be part of a dynamic and experienced sales team of 8 Sales Managers - 5 based in Copenhagen and 3 in Aalborg and 5 Inside Sales Associates - working closely together across Denmark. Our team is driven, collaborative, and passionate about helping our partners grow and making Wolt the preferred choice for both restaurants and retail stores. What Wolt offers At Wolt, you’ll get: A role with significant ownership and impact , where your results directly contribute to our growth A supportive and ambitious team culture , built on trust and collaboration The opportunity to be part of a rapidly growing international company , combining local expertise with global reach A culture of freedom, ownership, and development , where you can grow both personally and professionally Next steps We review applications on an ongoing basis, so apply today! Please note: Due to GDPR, we do not accept applications via email. Apply directly through our careers page. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Ищем ML Engineer в команду рекомендаций социальной сети для геймеров Gameram. Вакансия ближе к DE/MLOps — основной фокус на подготовке и доставке рекомендательных систем до пользователя и их стабильной работе в проде. Стек: Scala, Python, Spark, Airflow, Hadoop/HDFS, Kafka, ZooKeeper, ClickHouse, Superset, Redis, PostgreSQL, AWS Обязанности: — Выводить ML-модели и рекомендательные системы в production; — Развивать и поддерживать ML-инфраструктуру; — Взаимодействовать с Data Science, продуктом и другими инженерами. Требования: — 4+ года опыта в разработке; — Уверенный Scala и/или Python; — Опыт вывода ML-моделей в production и поддержки production-систем; — Опыт работы с Big Data и распределённой обработкой данных; — Понимание ML-пайплайнов и жизненного цикла моделей; — Опыт с рекомендательными системами будет большим плюсом. Условия: — full-time, удалённо (не РФ). — Зарплата: $4,000–5,000 gross / месяц.

About the Role We are a Las Vegas based game studio born on the Roblox platform and built by people who genuinely love this community. As a community-first studio, we care as much about our worlds and players as we do about the people building them. That mindset has helped us grow into one of the most innovative teams on Roblox, pushing boundaries, shaping culture, and setting new standards across the platform. With over 8B game visits, 44M monthly players, and a 19M member community, our worlds have become a core part of the Roblox ecosystem. We’re a ten-time winner of the Roblox Innovation Awards and recognized as builders of the future of the platform. From Creatures of Sonaria and Dragon Adventures to World // Zero and Horse Life, we create experiences that players live in, not just visit. What we are looking for We're looking for a passionate, data-driven Product Manager to join our game teams. In this role, you'll own the product vision and roadmap for your game, partnering closely with Design, Engineering, Art, Marketing, and Commerce to ship features that delight players and drive long-term growth. You'll sit at the intersection of player experience, game design, and live-ops, working within the unique constraints and opportunities of the Roblox platform, where your players are vocal, your community is enormous, and your updates ship in weeks, not quarters. Responsibilities: — Own and drive the product roadmap for your game, from ideation through launch and post-launch iteration. — Analyze game metrics and player behavior to identify opportunities, diagnose problems, and measure the impact of shipped features. — Stay close to your game's community to understand what players love, what frustrates them, and what they're asking for next. — Collaborate with creative leadership to plan seasonal content, events, and monetization updates that resonate with your players. — Partner with design, engineering, and art teams to translate product vision into well-scoped, executable work. — Define and prioritize features based on player feedback, data, and strategic goals — Write clear product specs and briefs that give your team everything they need to build with confidence. — Run sprint planning, reviews, and retrospectives to keep the team focused and unblocked. — Communicate progress, risks, and learnings to stakeholders clearly and proactively. — Foster a culture of focus, momentum, and fun across your team. Requirements: — 1–3 years of experience as a Product Manager or Producer in gaming. — Strong analytical mindset. You are comfortable working with data to inform decisions and measure outcomes. — Experience owning a product roadmap end-to-end, including prioritization, scoping, and shipping. — Familiarity with Roblox Studio. You don't need to write Lua, but you should be able to open a place in Roblox Studio, navigate a game hierarchy, understand how assets and scripts are organized, and speak credibly with developers about scope and feasibility. — Excellent written and verbal communication skills. You can write a crisp spec and present a clear recommendation to leadership. — Experience with live service products and the cadence of ongoing updates, events, and seasonal content. — Collaborative by nature. You work well across disciplines and know how to build trust with creative and technical partners. — Comfortable using tools like Notion, Google Suite, Discord, or similar for roadmap management and documentation. Location: This is a remote-first role open to candidates anywhere in the world. Las Vegas-based team members work in-office Tuesday through Friday (Monday optional). If Vegas sounds fun, we offer relocation support for candidates interested in moving here. In-office perks include daily DoorDash credits to keep you fed, commuter credits to cover your ride in, and a monthly game stipend because we think playing games is part of the job. We are actively building a UK talent hub in anticipation of a dedicated UK office. Candidates across the UK are warmly encouraged to apply.

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution, including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the team Management API, written in TypeScript, Nest.js and other JavaScript technologies, is a central part of every product in the Supabase stack. It allows all Supabase services and Supabase Studio to communicate with each other, programmatically manage your own Supabase projects and organisations, as well as integrate with 3rd party services like Vercel, Resend, or Lovable. You will: — Design, implement, and maintain both internal and public-facing APIs used across various Supabase products, including Studio, CLI, management APIs, and OAuth applications. — Integrate with third-party platforms and partners, either by developing custom integrations or providing clear API points for them to connect with Supabase. — Collaborate closely with various teams across Supabase (DevOps, Frontend, etc.) to ensure smooth integration and implementation of API functionality for the rest of the platform. — Build and enhance testing, debugging, and monitoring tools to ensure public APIs' stability, reliability, and performance. — Work with the dev-workflows team to enhance and improve the Branching experience, making it easier and more valuable for Supabase users. You have: — 5+ years of experience in backend API development, with strong expertise in TypeScript and JavaScript (Node.js) and familiarity with modern tools and frameworks (e.g., Nest.js, Express, Vitest, Zod). — Expertise in designing robust, scalable, and maintainable APIs, and experience with API versioning, pagination, and error handling best practices. — Experience with OAuth, JWT, and API security best practices (rate limiting, CORS, etc.) is a plus. — Good understanding of PostgreSQL and relational databases. — Proven ability to build scalable, maintainable APIs and develop tools for testing, debugging, and monitoring API performance. — Understanding of CI/CD pipelines, Docker, and containerized deployments to streamline API development, testing, and release processes. What We Offer — Fully Remote: We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. — ESOP: Every team member receives ESOP (equity ownership) in the company. — Tech Allowance: Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. — Health Benefits: Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. — Annual Off-Sites: Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. — Flexible Work: We operate asynchronously and trust you to manage your own time. — Professional Development: Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. 280+ team members, 55+ countries, 20+ languages spoken, $500M raised, 500,000+ community members. We move fast, build in public, and use what we ship. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities. Hiring Process We keep things simple, async-friendly, and respectful of your time: — Apply – Our team will review your application. — Intro Call – A short video chat to get to know each other. — Interviews – Up to four calls with: Team Leads, Future teammates, Someone cross-functional from product, growth, or engineering (depending on the role), Someone from our leadership/founding team. — Decision – We may follow up with a final question or go straight to offer. All communication is remote and we aim to move fast.

Location: Remote - Canada We’re introducing Rust where correctness, performance, and reliability truly matter. Narvar is Growing! Narvar is a multi-language platform, and we’re intentional about where we apply Rust. We’re looking for senior engineers to help us bring Rust into the backbone of the system — the parts that must be fast, safe, and correct under real-world scale. This role is for engineers who want agency: people who enjoy identifying the right problems, choosing the right tools, and owning systems end-to-end. You won’t be handed a narrow ticket queue. You’ll help decide what gets built and how it should be built. For this role, you should be located in Canada and able to work within EST/EDT or PDT/PST hours. We are fully remote. Day-to-day Design and build high-correctness Rust services that sit on critical platform paths Introduce Rust into areas where safety, determinism, and performance are essential Own systems from architecture → implementation → rollout → operations Make real decisions around concurrency, async boundaries, data integrity, and failure modes Work across service boundaries in a polyglot environment (Rust alongside other stacks) Collaborate with product, design, and frontend engineers to build systems that are technically sound and product-aware Improve reliability, observability, and system behavior through design, not just patching Mentor other engineers and raise the bar on system quality and ownership What We’re Looking For We care more about judgment and ownership than credentials. You’re likely a strong fit if you: Have built and operated distributed systems in production Have deep hands-on Rust experience (not just experiments or side projects) Understand where Rust shines — and where it doesn’t Are comfortable reasoning about concurrency, async systems, and correctness guarantees Have experience designing APIs and data contracts that evolve safely over time Have worked with relational and/or NoSQL databases at scale Have deployed and operated services in AWS or GCP (We are a GCP Shop though!) Take initiative naturally and are comfortable operating with ambiguity Communicate clearly and make tradeoffs explicit Bonus Points These aren’t hard requirements, but strong indicators: You’ve worked in startup or high-ownership environments You’ve owned systems in production, including on-call responsibility You’re comfortable moving across the stack when needed (backend-first, full-stack aware) You’ve influenced architecture by earning trust, not by mandate You use modern tooling (including AI-assisted workflows) to increase leverage , not outsource thinking (Note: we care about outcome and judgment, not how flashy your tools are.) Why Rust at Narvar? Because some parts of the system deserve stronger guarantees. We use Rust where: Bugs are expensive Latency and throughput matter Safety and correctness are non-negotiable You’ll help define where Rust belongs , not just write Rust in isolation. Why Narvar (From an Engineer’s Perspective)? Real scale, real customers, real impacts Startup-level ownership with platform-level impact Teams that value thinking, judgment, and responsibility Low ego, high trust, and room to do your best work Why Narvar? We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests. Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. As a Data Annotation Specialist, you will: - Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. - Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests. - Prompt models to complete complex data science tasks and review the accuracy of generated responses. - Label, proofread, and improve machine-written and human-written software engineering-related outputs. - Report quality and performance trends related to model/agent behaviour and project assignments. You may be a good fit if you have: - Exceptional data analysis and visualization skills. - 3+ years of relevant industry experience working on real-world data science problems and pipelines. - Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others). - Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML. - Prior experience re-writing, proofreading, and delivering feedback on code. - Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus. The Candidate Journey: - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If the above qualifications do not perfectly align with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Location: Paris Workplace: OnSite 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 Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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: Montréal 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 Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in French and English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why joining us?  You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! Why join us?    You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! 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: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. - Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Preferred duration: at least 6 months. Priority to candidates about to finalise their studies. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris 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 JOB The Applied AI for Defense team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence. Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners. Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact. WHAT YOU WILL DO • Individually deploy AI solutions into production for use cases with significant operational and strategic impact. • Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers. • Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning. • Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders. • Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. ABOUT YOU • Fluent in English. • PhD or Master's in AI, Machine Learning, Computer Science, or related field. • 2+ years of experience in AI/ML • Proven track record of leading teams to deliver complex AI projects from prototyping to production. • Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. • Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus. • Strong software engineering skills: API design, backend/full-stack development, system architecture. • Excels in technical communication with technical and non-technical audiences, including executives. • Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.   IT WOULD BE GREAT IF YOU • Have experience with React or other frontend frameworks. • Have experience with Deep Learning in PyTorch • Contributed to open-source projects in the LLM or AI space. • Have experience in customer-facing roles with a focus on enterprise AI adoption. SECURITY & COMPLIANCE CRITERIA • Eligibility: must hold citizenship in the target territory (France for now). • Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology. You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact. Previous experience in life sciences is welcome, but not required for this role. Minimum Qualifications Demonstrated experience training and evaluating large language models Proficiency in Python and familiarity with modern ML development practices Experience building and managing data pipelines for large-scale datasets Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams Preferred Qualifications 8+ years of machine learning experience Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields) Experience working with large-scale biological datasets Published research or practical experience in scientific AI applications or long-horizon reasoning Background in reinforcement learning and/or pretraining Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing Contributions to open-source scientific software or databases The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Configuration Manager - Location: Valencia, Spain - Department: Manufacturing Assurance; Global Manufacturing Organisation - Reports to: Configuration and Change Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: We are looking for a highly skilled Configuration Manager to join our Configuration Management and Change Control team within the Global Manufacturing Organization (GMO). In this role, you will play a crucial part in executing our CM functions across multi-domain environments and ensuring flawless product data integrity for multi-site manufacturing. As a Configuration Manager, your mission is to actively bridge engineering and manufacturing by capturing product information, structuring it effectively, and managing changes throughout the product lifecycle for the local production site. Reporting to the global CM Team, you will act as a subject matter expert, driving configuration consistency and ensuring changes are rigorously controlled and documented within the local site. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.   YOUR DAY-TO-DAY RESPONSIBILITIES   - Execute and support the continuous improvement of the Configuration Management Standard Operating Procedures (CM SOPs). - Establish and manage product baselines for assigned segments, ensuring absolute data consistency across PLM, ERP and MES systems. - Independently manage the day-to-day change management process for assigned projects; process ECRs, ECOs, RFDs, and RFWs, and actively participate in or facilitate Change Control Boards (CCB). - Structure and maintain EBOM/MBOM as well as CIDL/ABCL configurations, ensuring seamless transitions and accurate product breakdowns. - Apply and enforce item classification schemes, part numbering conventions, and product breakdown structures across hardware and software. - Ensure that all relevant personnel at the site are trained on CM processes, workflows, and system usage, and maintain awareness of updates or changes to established procedures. - Act as an ambassador for the PLM and MES platforms, proactively guiding cross-functional teams on CM best practices and effective system utilization to drive adoption, streamline workflows, and protect data integrity. - Collaborate closely with program managers, engineers, supply chain, and quality assurance to resolve configuration issues and maintain integrity. - Track and compile CM metrics, KPIs, and configuration status reports for your assigned projects, identifying risks and proposing solutions. - Adapt CM practices to suit a rapid-paced environment, balancing prototype cycles, design iterations, and multi-program concurrency. WHAT WE’RE LOOKING FOR MUST HAVES: - Engineering background (Bachelor’s in electrical, electronics, mechanical, aerospace, or a relevant engineering discipline). - 4 to 6 years of experience in configuration management or a closely related engineering discipline within the aerospace, defense, or automotive industry. - Working knowledge of configuration management standards (e.g., ECSS-M-ST-40, EIA-649, or MIL-STD-973). - Experience with hardware and/or software configuration management within a multi-domain product environment. - Demonstrated experience processing change documentation and actively contributing to a CCB. - Strong understanding of the distinction between EBOM and MBOM, product breakdown structures, and item classification methodologies. - Hands-on experience with at least one PLM system (e.g., Arena, Windchill, Teamcenter, Enovia, Aras) and familiarity with an MES or ERP system. - Ability to work independently and collaboratively in a fast-paced environment where processes are still maturing. - Fluent in English. Spanish is a plus. NICE TO HAVES: - Familiarity with ground segment or mission operations system architectures. - Exposure to software CM concepts (version control, branching strategies, CI/CD pipelines). - Demonstrated experience in programming and AI tools for creating automations, tools and for day-to-day use - Experience assisting in the implementation or testing of PLM/MES system updates. - Certification or coursework in CM (e.g., CM2, CMIPC, NDIA CM training). - Experience in a manufacturing scale-up or transition environment. APPLICATION PROCESS - Talent Screening - Hiring Manager Interview - Assessment and Presentation - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Budapest, Budapest, Hungary Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About this job: Interacts with customers to address their inquiries and problems in real-time. Quick responses through live chat and professional, courteous customer service are among your duties. Additionally, following up on help requests usually requires email communication as part of your tasks. What You’ll Be Doing: Handling inquiries and issues from global customers in multiple languages through various channels, including email, chat, and voice. Collaborating with internal and external stakeholders, such as product managers and the marketing team, to address complaints and feedback related to websites, products, platforms, and services, etc. Maintaining a strong understanding of company products to effectively communicate with customers in their preferred language. Establishing and nurturing strong relationships with company partners and external stakeholders. Escalating any queries or unresolved issues to Level 2/Supervisors as directed by the operations management when they can not be resolved within standard procedures. W hat We Look For In You: A Diploma in finance, customer service & relations, linguistics, crypto-related studies, or a related field. At least 1-2 years of experience in language-related roles, including translation, interpretation, or localization. Proficiency in both spoken and written language relevant to the job, along with a high level of English language proficiency. Ability to work independently in a fast-paced environment and deliver multilingual support. Availability to work a Monday–Friday, 9:00–18:00 schedule . Please note: business needs may evolve, and future adjustments to working hours may be required. Strong interpersonal skills: the ability to navigate challenging language situations and remain composed under pressure. Problem-solving mindset: a dedication to finding the right linguistic solutions for customers, overcoming language barriers, and making cost-efficient decisions. Excellent time management: the ability to handle multilingual tasks effectively while managing time efficiently. Quick learner: the ability to quickly grasp new linguistic concepts and adapt to the evolving language needs of customers. Nice to Haves: Familiarity with cryptocurrency and/or finance-technology industry. Working knowledge of CRM tools, such as Zendesk. Basic computer knowledge: MacOS, Lark, Microsoft Office, and G-Suite. Why Join Us? Competitive remuneration package Yearly Performance Bonus Excellent prospects for growth and promotion - we provide you with assistance, opportunities for skill development, mentoring, and training programmes to help you succeed. Employee engagement, recognition and appreciation program. Multinational working environment - Advance your career by interacting with individuals from various backgrounds, cultures, and nations. Hybrid work environment available as part of our flexible working approach #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Total Rewards mastermind to lead the design and enhancement of our global Total Rewards strategy. In this exciting new role, you will lead a talented global team in shaping the future of our compensation policies. You will be driving the implementation of both short-term and long-term incentive plans, collaborating closely with senior leadership and HR teams to resolve compensation and benefits challenges. Your expertise will guide benchmarking studies, optimize annual compensation processes, and continuously improve our rewards approach. What You’ll Be Doing Design and build up C&B policies and guidelines that ensure competitive pay positioning, including but not limited to global compensation structure, global benefits programs and tailored compensation tools. Drive the design and implementation of company-wide short-term and long-term incentive programs. Serve as the focal point with business functions, crafting and executing communication strategies that secure stakeholder buy-in and support. Advocate for and influencing senior management on new Total Rewards strategies. Effectively partner with the business, HRBPs and other HR functions to manage, consult on, and resolve complex compensation and benefits matters. Lead the team in conducting benchmarking studies to analyze and evaluate the effectiveness of current policies and guidelines, identifying gaps and recommending areas for enhancement. Oversee the execution of annual C&B programs, including the annual salary review, Long-Term Incentive (LTI) grants, benefits reviews, salary surveys, etc. Guide the team in delivering training to HR staff and business leaders on processes and best practices within the Total Rewards framework, ensuring direct interaction with employees at all levels. Drive the design and improvement of workflows and procedures to maximize efficiency, managing programs from a project management perspective. Manage short to long-term planning, policy and program development, and recommend new approaches to support continuous improvement. What We Look For In You Bachelor’s Degree with solid knowledge and experience of global Compensation & Benefits design including but not limiting to broad-based compensation, short-term and long-term incentive program design and implementations, and annual focal reviews. Self-motivated and flexible, capable of performing well under pressure and adjusting to rapidly changing environments. Resilient, with a positive, can-do attitude. Committed to embodying and promoting the company’s values proactively. Strong domain expertise while being open to new ideas and feedback. We seek a strong expert who is also a collaborator, valuing diverse perspectives to achieve the best outcomes for the company. Excellent communication skills, with the ability to drive business conversations and push things through. Demonstrated strong financial acumen and business insights in designing incentive programs. Hands-on approach willing to engage in the details. Strong team player, with the ability to build partnerships within HR team and across business units. Proficiency in both English and Mandarin is required, as the role involves close collaboration with cross-functional stakeholders in Mandarin-speaking regions. Nice to Haves Experience in the crypto industry. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .