Senior Machine Learning Engineer, AI Product and Platform

BetterUp; Austin (TX); Hybrid; USD 160,000 - 253,000; Full time

Benefits offered by this job

Access to BetterUp coaching

Flexible paid time off

401(k) self contribution

Charitable contribution sponsorship

Job summary

A leading growth company based in Austin, Texas, is looking for a Senior Machine Learning Engineer to drive innovative AI solutions. You will prototype LLM-powered features and collaborate with cross-functional teams to enhance user experiences. With a commitment to coaching and continuous learning, this role offers a dynamic work environment. The position includes generous benefits and a competitive salary range of $160,000–$253,000.

Qualifications

• 4+ years building and shipping ML systems in production, with at least 6–12 months hands-on with LLM fine-tuning.
• Solid understanding of modern ML tooling.
• Fluency in Python for AI development.

Responsibilities

• Prototype, fine-tune, and evaluate LLM-powered features.
• Own the production lifecycle and collaborate with teams.
• Define success metrics and implement A/B tests.

Skills

ML systems in production

Python

Jupyter/IPython

Modern ML tooling (PyTorch, TensorFlow, or JAX)

Clear communication

Bias toward action

Job description

Senior Machine Learning Engineer, AI Product and Platform

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; Chicago, IL; New York City, NY; San Francisco, CA; and the Washington, DC metro area. If this is a role based in Europe, our Europe hub locations are London, UK and Amsterdam, NL. 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.

Not sure you hit every bullet? We value growth mindsets—please apply anyway.

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. 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
  • 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

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.

The base salary range for this role is $160,000– $253,000. If you live in New York, the base salary range for this role is: $221,000 – $303,000: New York City; $192,000 – $264,000: Albany, Buffalo, Nassau, Newburgh, Rochester, Syracuse. At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with our Applicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out to [e-mail]