ML Developer Experience Engineer

Adaptive ML is a frontier AI startup focused on building a Reinforcement Learning Operations (RLOps) platform for enterprises. They are seeking an ML Developer Experience Engineer to create developer-centric tools and workflows that simplify the use of reinforcement learning for ML engineers and developer teams.

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 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

Requirements:

• 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
• 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 organisation
• Strong interest in Rust