Machine Learning Engineer II

Our mission : to eliminate every barrier to mental health.

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare , empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

As a Machine Learning Engineer on our AI and ML Infrastructure team, you'll be a key player in our mission to accelerate improvements that remove barriers to mental health. Your role is to build the foundational LLM infrastructure, tools, and automated systems that empower all of our product teams to deliver features faster, safer, and more reliably.

This is a hands-on role where you will build the "paved road" for AI development at Spring Health. You will tackle complex technical challenges by turning clear solutions into well-defined technical plans for LLM Ops and shared LLM components. You will not only build for today's needs but also lay the groundwork for future capabilities.

Please note that this is a  hybrid role based in San Francisco , with an expectation to be in office 2-3 days a week. Our office is located at 2 Embarcadero Ctr.

What you’ll do

• Build Foundational LLM Tooling : Design, build, and maintain the core components of our LLM infrastructure. This includes operationalizing tools like LangSmith for observability, creating shared patterns for using orchestration frameworks, and developing reusable libraries that make our feature teams more productive.
• Develop Advanced AI Capabilities : Build the platform to support sophisticated LLM use cases. You will help deploy and build the pipelines for a vector database to enable Retrieval-Augmented Generation (RAG) across multiple product teams.
• Pioneer Future-State Infrastructure : Contribute to proofs-of-concept and the architectural groundwork for future innovations.
• Ensure Platform Excellence & Scalability : Consistently add logging, monitoring, and alerting to the platform services you build. Your team is accountable to ensure the platform is stable, performant, and cost-effective for its internal users.
• Partner with Feature Teams : Work closely with engineers across the organization to understand their needs and challenges. You will act as a consultant and enabler, providing the tools and patterns that unblock their work and accelerate their AI roadmaps.

What success looks like :

What you’ll bring

The target base salary range for this position is $120,000 - 165,275,  and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health :

Note : We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive . If this role excites you, we encourage you to apply.

Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health : Our Values

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Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.