Senior Machine Learning Engineer, AI Product and Platform

Senior Machine Learning Engineer, AI Product and Platform

Join to apply for the Senior Machine Learning Engineer, AI Product and Platform role at Better Up

Let’s face it: if you’re going to build the future of human transformation, you deserve more than a paycheck. You deserve a personal Better Up Coach, the most curious teammates on the planet, and a mission that pulls you out of bed every morning. At Better Up, 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?

• 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 Focus Frame, our AI copilot that helps coaches deliver higher‑impact sessions in real time.

We are a hybrid company with a focus on in‑person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include:
Austin, TX;
New York City, NY;
San Francisco, CA; and the Arlington, VA metro area. Please ensure you can realistically commit to this structure before applying.

• 4+ 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, Tensor Flow, 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.

• 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 mindsets—please apply anyway.

Our team thrives at the intersection of human expertise and AI capability. As an AI‑forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI‑augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation.

During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact.

At Better Up, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

• Access to Better Up coaching; one for you and one for a friend or family member
• A competitive compensation plan with opportunity for advancement
• Medical, dental, and vision insurance
• Flexible paid time off
• Per year:
  • All federal/statutory holidays observed
  • 4 Better Up Inner Workdays ()
  • 5 Volunteer Days to give back
  • Learning and Development stipend
  • Company wide Summer & Winter breaks
• Year‑round charitable contribution of your choice on behalf of Better Up
• 401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be…