Machine Learning Engineer II

Overview

Our mission : to eliminate every barrier to mental health.

At Spring Health, we are 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 services, delivering care for 10 million people. Our clients include brands you know like Microsoft, Target, and Delta Airlines, who trust us to deliver best-in-class outcomes for their employees globally. With our platform, we have generated 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.

What you’ll do

• Build Foundational LLM Tooling : Design, build, and maintain the core components of our LLM infrastructure. This includes operationalizing tools for observability, creating shared patterns for using orchestration frameworks, and developing reusable libraries that increase productivity for feature teams.
• Develop Advanced AI Capabilities : Build the platform to support sophisticated LLM use cases. Deploy and build 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 : Add logging, monitoring, and alerting to platform services. Ensure the platform is stable, performant, and cost-effective for internal users.
• Partner with Feature Teams : Work with engineers across the organization to understand needs and challenges. Act as a consultant and enabler, providing tools and patterns that unblock work and accelerate 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 based on 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 a minimum to ensure competitive and fair pay.

Benefits

Not sure if you meet every requirement? We encourage you to apply. We are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive.

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

Privacy & Equal Opportunity

Spring Health is 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 legally protected characteristics. We consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, please let us know.

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