About this opportunity
SupportFinity™ lists this Staff Machine Learning Engineer, AI Product and Platform opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Staff Machine Learning Engineer, AI Product and Platform
Full-time
Unknown
Negotiable
Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit,we really should start talking.
AI is transforming the future of coaching—and BetterUp is at the forefront of that transformation. We’re seeking a creative, product-minded machine learning engineer who’s eager to roll up their sleeves and help shape what comes next alongside our world-class team. The ideal candidate is motivated by impact, thrives in fast-paced and ambiguous environments, and brings clarity where there’s complexity. You’re someone who values empowering your teammates as much as your own growth, and who stays focused on what matters most: delivering meaningful, human-centered value to our members and customers. At BetterUp, we support and challenge one another to grow, always with empathy and excellence. We’re looking for someone who shares our commitment to continuous learning, who takes pride in craftspersonship, and who believes deeply in the power of technology to drive positive change in the world. And because we know peak performance comes from balance, we foster a culture that supports you in bringing your full self to our mission.
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 Do
Design and deliver state-of-the-art Generative AI systems and experiences that set the standard for quality, engagement, and trust in coaching.
Mentor and elevate engineers at all levels through technical guidance, code and design reviews, and thought partnership, raising the bar for engineering excellence.
Collaborate deeply with cross-functional partners across product, research, design, and engineering, to ship and scale first-of-their-kind AI coaching products.
Shape direction and scope by developing a deep understanding of customer needs and translating them into technical strategy and product roadmaps.
Stay ahead of the curve in Generative AI research and practice, leading conversations on emerging technologies and how to responsibly bring them into production.
7+ years as an ML engineer and 3+ years of hands‑on experience building and shipping products on top of leading LLMs
Proven track record designing, implementing, and evaluating LLM outputs
Experience fine‑tuning smaller models or adapting foundation models to improve quality, engagement, and scalability
Background at a leading AI research lab or equivalent experience staying at the frontier of Applied ML/AI, GenAI, with strong software engineering skills and a deep understanding of LLM internals
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.