Principal Machine Learning Engineer
Headspace Health - Remote - New York City, NY; Remote - Seattle, WA; Remote - United States; San Francisco - Hybrid
Posted May 4, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Principal Machine Learning Engineer Remote - New York City, NY; Remote - Seattle, WA; Remote - United States; San Francisco - Hybrid About the Principal Machine Learning Engineer at Headspace: Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clinicians through the mindful application of Machine Learning. These applications include building conversational AI systems, healthcare assistance tools, and recommendation and personalization systems. In this team, you'll be tasked with owning and delivering cutting edge language-based ML applications that will power the core features of Headspace. You'll have the opportunity to lead the vision, alignment, development, deployment, and adoption of these solutions, helping to bring Headspace to the forefront of AI and to realize its mission to improve health and happiness of the world. What you will do: - Technical Leadership: Lead the development of complex, scalable AI models and applications from inception to production. Drive impactful ML technology initiatives that will shape the delivery of and access to mental healthcare. Serve as a go-to expert and mentor, exemplifying excellence in AI/ML engineering and inspiring others to pursue technical career growth. - Shape ML Platform Architecture: Drive the design, development, and evolution of our internal ML platform, taking it from high-level vision to robust implementation. - Collaborative Problem-Solving: Partner with cross-functional teams to align technical decisions with organizational goals, ensuring cohesive and impactful solutions. What you will bring : Required Skills: - Master's of Science degree or higher in
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