Machine Learning Engineer, Coach Platform
United States (Hybrid)
BetterUp
The BetterUp coaching platform drives whole company transformation. Provide your employees with personalized experiences to boost productivity and engagement.Letâs face it: if youâre going to build the future of human transformation, you deserve more than a paycheck.
You deserve a personal BetterUp Coach, the most curious teammates on the planet, and a mission that pulls you out of bed every morning. At BetterUp, we pair world-class coaching with Generative AI to help millions live with clarity and purpose. Ready to engineer the models that make that magic feel personal?
What youâll do
Prototype, fine-tune, and evaluate LLM-powered featuresâfrom conversational insights to practice-moment nudgesâusing 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 guardsâwhile 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.
What youâll bring
Core
3â5 years building and shipping ML systems in production, with at least 6â12 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.
Bonus (nice-to-have, not required)
Prior experience in coaching, learning-science, ed-tech, or behavior-change domains.
Exposure to RLHF, preference tuning, or multimodal models.
Not sure you hit every bullet? We value growth mindsetsâplease apply anyway.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: A/B testing Architecture Copilot Engineering Generative AI JAX Jupyter LLMs Machine Learning Pipelines Prompt engineering Python PyTorch RAG Research RLHF TensorFlow
Perks/benefits: Career development Startup environment
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