Machine Learning Engineer, BetterUp

• 3–5 years building and shipping ML systems in production, with at least 6–12 months hands-on with LLM fine-tuning, prompt engineering, or RAG pipelines
• Fluency in Python for AI development and comfort working in Jupyter/IPython
• Solid understanding of modern ML tooling (e.g., PyTorch, TensorFlow, or JAX) and containerized/cloud deployment basics
• Clear, approachable communication with both technical peers and non-technical partners
• Bias toward action, curiosity, and comfort navigating ambiguity in a fast-moving startup environment
• Not sure you hit every bullet? We value growth mindsets—please apply anyway

Desirable

• Prototype, fine-tune, and evaluate LLM-powered features—from conversational insights to practice-moment nudges—using Python and Jupyter notebooks
• Own the production lifecycle: data prep, experiment design, offline/online evaluation, and weekly pushes to prod alongside a tight squad of ML/Backend/Full Stack Engineers
• Collaborate daily with Product, Coaching Science, and Learning Design to turn behavior-change research into delightful user moments
• Contribute to technical design by shaping model architectures, retrieval strategies, and safety guards—while staying hands-on in code
• Measure what matters: define success metrics, implement A/B tests, and iterate quickly on real coach feedback
• Ship end-to-end improvements to products like FocusFrame, our AI copilot that helps coaches deliver higher-impact sessions in real time