ML Developer Experience Engineer
il y a 3 jours
About the role As an ML Developer Experience Engineer, you will empower ML engineers and developer teams to leverage reinforcement learning without needing deep RL expertise. You’ll build developer-centric tooling, abstractions, and workflows that make training, evaluating, and deploying RL models intuitive, robust, and scalable — fueling our customers’ ability to adopt, expand, and own RL use cases. This role is core to our land‑and‑expand strategy: your work will enable customers to scale independently, reducing friction and unlocking self‑service adoption across organizations. You will collaborate closely with Technical Success, Product, and Engineering team to identify patterns, extract reusable solutions, and shape the boundary between tooling and product. This role is based in Paris or remote within EMEA. Your Responsibilities Developer Tooling & API Abstractions Design and build intuitive SDKs, libraries, APIs, and tooling that make RL workflows accessible and productive for developers and ML engineers; Balance simplicity and flexibility — support common patterns while enabling advanced configurations and extensibility; Partner with internal teams to refine primitives into documented, reusable modules that accelerate customer success. Customer‑Centric Developer Experience Work with across tech team and customer success to identify recurring customer patterns and workflow bottlenecks; Translate feedback into tooling improvements, error messaging, onboarding flows, and reference examples; Own comprehensive documentation, examples, and tutorials that make complex concepts clear and approachable. Cross‑Functional Bridge & Quality Standards Act as the translator between customer needs and product evolution — help shape internal libraries into long‑term platform capabilities; Ensure high quality through tests, edge‑case handling, and reliability as a core tenet of the developer experience; Collaborate with Product to influence roadmap decisions with real usage and pain‑point insights. Your (ideal) background We value signal, judgment, and mindset over perfect resumes. Strong candidates often display: Experience building developer‑facing libraries, tooling, SDKs, APIs, or frameworks used in production by other developers or teams; Comfort with Python (mandatory) and/or other languages common in the ML ecosystem Track record of elevating developer productivity and satisfaction through documentation, design, and feedback loops; Understanding of ML workflows, training loops, evaluation, and deployment patterns — RL familiarity is a plus, not a prerequisite; Empathy for developers as users — you understand that clarity and usability drive adoption; Strong collaborative skills and ability to influence across technical and customer‑facing teams. Nice to have (not blockers): Contributions to open‑source tooling or developer libraries; Experience with distributed training, PyTorch/JAX, or developer platform tools (e.g., language server integrations, CLI frameworks, documentation systems); Experience shaping developer experience strategy in a product organization Strong interest in Rust #J-18808-Ljbffr
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RL DevEx Engineer
il y a 3 jours
Paris, France Adaptive ML Temps pleinA leading machine learning company is seeking an ML Developer Experience Engineer to empower teams in harnessing reinforcement learning. The role involves designing developer-centric tooling and API abstractions to improve workflows and enhance user experience. Candidates should have strong Python skills, a background in building developer-focused libraries,...
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Ml Engineer
il y a 1 semaine
Paris, France Capital Fund Management Temps pleinParis, 75, FR **ABOUT CFM**: We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions. **ML Platform team**: The ML Platform team is focused on enhancing...
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ML Engineer
il y a 3 jours
Paris, France :probabl. Temps pleinJoin to apply for the ML Engineer role at :probabl. About Probabl Probabl is the official and exclusive industrial operator of scikit-learn, the world's most widely used machine learning library. Born from the open-source ecosystem, we are building a comprehensive suite of tools, starting with Skore. Our mission is to help data teams design, track, and...
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ML Engineer
il y a 5 jours
Paris, Île-de-France Aubay Temps pleinPassionné par la Data et l'innovation à base d'Intelligence Artificielle, vous souhaitez rejoindre une communauté d'experts dans le domaine afin de développer vos compétences en Architecture, Data Engineering et Data Science/IA. Aubay Data & AI, cabinet spécialisé Data de Aubay Solutec, renforce ses équipes et recherche des ML Engineers (H/F) pour...
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il y a 1 semaine
Paris, France SkillCorner Temps pleinJoin to apply for the ML Ops/Engineer role at SkillCorner. Technical Stack Data Science: Python, Tensorflow, Onnx, Pytorch, TensorRT Infra/DevOps: AWS (EC2, EKS, RDS, Lambda), Docker, Grafana Back-end: Django Front-end: Angular Vos Principales Missions Seront Mise en place d'outils permettant aux data scientists de entrainer/tester leurs algorithmes à...
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ML Ops/Engineer
il y a 3 jours
Paris, France SkillCorner Temps pleinJoin to apply for the ML Ops/Engineer role at SkillCorner Vous aurez un rôle transverse entre l’équipe Software et l’équipe Data Science de SkillCorner. Votre rôle sera de faciliter le développement et la mise en production des algorithmes développés par l’équipe data. Vos Principales Missions Mise en place d'outils permettant aux data...
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ML Ops/Engineer
il y a 2 semaines
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AI/ML Security Engineer
il y a 3 jours
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il y a 7 jours
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il y a 7 jours
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