[Hiring] Staff Software Engineer, Machine Learning @Headspace

Role Description

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. 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.

• 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.
• Drive the design, development, and evolution of our internal ML platform.
• Partner with cross-functional teams to align technical decisions with organizational goals.
• Advocate for and contribute to high-quality engineering standards through rigorous code reviews.

Qualifications

• 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 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.
• Mentorship of junior engineers and contribution to DEIB initiatives.

Requirements

• Master’s degree in relevant field or equivalent experience (preferred).
• Professional experience with clinical and/or healthcare applications of machine learning (preferred).
• Familiarity with current ML literature including optimization methods and agent-based models (preferred).
• Experience with implementation of robust and highly scalable services (preferred).
• Experience with AWS, including SageMaker, Lambda, S3, DynamoDB, IAM (preferred).

Benefits

• The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits.
• Comprehensive healthcare coverage.
• Monthly wellness stipend.
• Retirement savings match.
• Lifetime Headspace membership.
• Generous parental leave.