Senior Machine Learning Engineer, AI Product and Platform

SupportFinity™; San Francisco (CA); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Access to BetterUp coaching

Competitive compensation with growth

Medical, dental, vision insurance

Flexible paid time off

Holidays observed and company breaks

Inner Workdays and Volunteer Days

L&D stipend

401(k) plan

Job summary

BetterUp is seeking a Senior Machine Learning Engineer to advance AI-powered product and platform capabilities in a hybrid, multi-hub setup. You will prototype and ship LLM features, own the production lifecycle, and collaborate with coaching science, learning design, and product teams to transform research into meaningful user moments.

You should bring 4+ years building ML systems in production, strong Python/Jupyter skills, and hands-on experience with PyTorch, TensorFlow, or JAX.

Qualifications

• 4+ years building and shipping ML systems in production.
• Hands-on with LLM fine-tuning, prompt engineering, or RAG pipelines.
• Fluency in Python for AI development and Jupyter/IPython.
• Solid understanding of modern ML tooling and cloud deployment basics.
• Clear, proactive communication with technical peers and non-technical partners.

Responsibilities

• 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.

Skills

Python

ML systems in production

Jupyter/IPython

PyTorch/TensorFlow/JAX

Effective communication

Tools

PyTorch

TensorFlow

JAX

Job description

Senior Machine Learning Engineer, AI Product and Platform

BetterUp |

Full-time

Unknown

Negotiable

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 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 You’ll Do

• 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.

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. What You’ll Bring Core

• 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, 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.

AI at BetterUp 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. Benefits

At BetterUp, 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 BetterUp 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 BetterUp Inner Workdays (https://www.betterup.co/inner-work)
• 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 BetterUp
• 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.

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

New York City and San Francisco: $200,000 - $250,000

Austin, Arlington, and Chicago: $180,000 - $225,000