Job Title

About the Team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale pioneering taskspecific LLM development and running productionready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightlyknit team was previously involved in the creation of stateoftheart openaccess large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and were already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services with much more to be announced soon. About the Role Were looking for an ML Developer Experience Engineer to empower ML engineers and developer teams to leverage reinforcement learning without needing deep RL expertise. Youll build developercentric tooling, abstractions, and workflows that make training, evaluating, and deploying RL models intuitive, robust, and scalable fuelling our customers ability to adopt, expand, and own RL use cases. This role is core to our landandexpand strategy: your work will enable customers to scale independently, reducing friction and unlocking selfservice adoption across organisations. Youll collaborate closely with Technical Success, Product, and Engineering to identify patterns, extract reusable solutions, and shape the boundary between tooling and product. This role is based in Paris, New York, or Toronto. Your Responsibilities 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. Work across the technical and customer success teams 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. Act as the translator between customer needs and product evolution help shape internal libraries into longterm platform capabilities. Ensure high quality through tests, edgecase handling, and reliability as a core tenet of the developer experience. Collaborate with Product to influence roadmap decisions with real usage and painpoint insights. Your (Ideal) Background We encourage candidates to apply even if their experience doesnt match every point below. Experience building developerfacing 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 customerfacing teams. Contributions to opensource 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 organisation. Strong interest in Rust. Benefits Competitive compensation package benchmarked to local market. Private health insurance (or topup to national coverage, depending on location). Pension contribution or equivalent retirement benefit. Unlimited PTO we strongly encourage at least 5 weeks each year (in addition to local statutory leave). Mental health, wellness, and personal development stipends. Visa sponsorship available if you wish to relocate to Paris. #J-18808-Ljbffr