Staff Software Engineer, Machine Learning @ Headspace
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About the Staff Software Engineer, Machine Learning
Machine Learning at Headspace is a dynamic group whose mission is to improve member and clinician experiences by applying innovative ML techniques. You will own and deliver cutting edge language-based ML applications powering core features at Headspace.
What You Will Do
- Technical Leadership: Lead development of scalable AI models from inception to production.
- ML Platform Architecture: Design, develop, and evolve internal ML platforms.
- Collaborative Problem-Solving: Work with cross-functional teams for cohesive solutions.
- Champion Code Quality: Advocate high engineering standards through code reviews and feedback.
What You Will Bring
Required skills include a Bachelor of Science or equivalent experience in CS or related fields, 5+ years in ML engineering with Python, advanced experience in ML technologies (vector search, embedding models, recommender systems, deep learning etc.), 3+ years with modern NLP tools and frameworks (scikit-learn, PyTorch, TensorFlow, spaCy), and strong communication and mentorship skills.
Preferred Skills
- Master’s degree or equivalent experience
- Experience with clinical or healthcare ML applications
- Familiarity with current ML literature and robust service implementation
- Experience with AWS services (SageMaker, Lambda, S3, DynamoDB, IAM)
Location & Benefits
This role is remote with requirements to be based in New York City or Seattle for full-time US residents. Compensation is competitive, with a base salary range of $140,400-$224,250 plus equity and comprehensive benefits including healthcare, wellness stipend, retirement match, and more.
About Headspace
Headspace exists to provide lifelong mental health support through evidence-based content, clinical care, and innovative technology. The company values impactful work, collaboration, and diversity to redefine mental health care.
Key skills/competency
- Machine Learning
- Artificial Intelligence
- Python
- NLP
- Deep Learning
- AWS
- Conversational AI
- Mentorship
- Platform Architecture
- Code Quality
How to Get Hired at Headspace
🎯 Tips for Getting Hired
- Customize your resume: Tailor your experiences to ML leadership.
- Highlight key projects: Emphasize scalable AI and NLP work.
- Showcase technical skills: Focus on Python and AWS expertise.
- Prepare for behavioral interviews: Practice communication and mentorship examples.