headspacesourcing

Staff Software Engineer, Machine Learning

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At a Glance

Location
Remote - New York City, NY; Remote - Seattle, WA; Remote - United States; San Francisco - Hybrid
Work Regime
remote
Employment
employment_required
Experience
5+ years
Compensation
or this full-time position is $140,400-$224,250 + equity + benefits. Our sala
Posted
2026-03-03T15:15:59-05:00

Key Requirements

Required Skills

AWSDeep LearningMachine LearningNLPPyTorchPythonTensorFlow

Domain Knowledge

  • Clinical
  • Engineering
  • Healthcare

Requirements

Bachelor of Science degree or higher in Computer Science, Statistics, Mathematics or a related field OR equivalent experience

5+ years of ML engineering experience in an academic or professional setting, programming in Python

5+ years of experience with any of the following fundamental technologies: vector search, embedding models, recommender systems, supervised, unsupervised machine learning, deep learning, reinforcement learning, LLM orchestration, RAG systems.

3+ years of experience with modern NLP tools and machine learning libraries (scikit-learn, PyTorch, TensorFlow, spaCy)

Experience with unit, integration, and end-to-end testing, version control

Strong problem solving and communication skills and ability to influence across internal organizations

Compensation & Benefits

:

A mission that matters—with impact you can see and feel

A culture that’s collaborative, inclusive, and grounded in our values

The chance to shape what mental health care looks like next

Competitive pay and benefits that support your whole self

Responsibilities

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.

About the Company

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily:

Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage.

These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come.