ML Engineer

The Role

We’re looking for an ML Engineer who’s passionate about applied research and eager to work on the frontier of AI agent development. You’ll bridge research and production — exploring, prototyping, and deploying models that push the limits of what autonomous agents can do in real-world settings.

Key Responsibilities

• Conduct applied research to evaluate, fine-tune, and adapt large language models and other AI architectures for our use cases
• Prototype experimental models and pipelines, testing novel approaches to agent orchestration, prompt design, or retrieval-augmented generation (RAG)
• Design and run experiments, analyze results, and iterate rapidly to improve agent performance
• Build robust, reproducible pipelines for data collection, preprocessing, and training
• Collaborate with backend and product engineers to operationalize research prototypes into production services

Requirements

• 2–4 years of experience in applied ML research or an industry role with a strong R&D component
• Solid foundation in machine learning fundamentals and experience working with LLMs or NLP models
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Hands-on experience designing experiments, evaluating models, and analyzing data
• Familiarity with literature reviews and an eagerness to stay up-to-date with emerging techniques

Nice to Haves

• Experience with vector databases, embeddings, or semantic search
• Familiarity with reinforcement learning from human feedback (RLHF)
• Familiarity with agent frameworks
• Contributions to open-source ML projects or published research papers

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential