Staff Machine Learning Scientist

About The Role

Hinge Health helps people move without pain through digital musculoskeletal (MSK) care. As a Staff ML Scientist on the Proactive Communications & Notifications team, you'll own the machine learning that decides what message each member receives, when, and through which channel.

What You'll Accomplish

• Send-time and channel optimization: Design and ship the next system for deciding what nudge to send a member, when, and through which channel, beyond our current contextual-bandit approach.
• Propensity modeling: Build and deploy models that decide whether nudging a given member is worth it, balancing engagement against fatigue and unsubscribes.
• Experimentation rigor: Set the bar for how the team runs experiments: multi-arm tests, sequential testing, CUPED, and guarding against peeking, so our nudge decisions are causally sound.
• Production ownership: Own at least one model in production end-to-end.
• Leadership: Mentor the team's ML scientists, guide technical direction, and partner across product, engineering, data science, and the growth and marketing teams.

Required Qualifications

• Bachelor's degree or higher in Computer Science, Statistics, Operations Research, Machine Learning, or a related quantitative field
• 7+ years building and deploying ML systems in production at consumer scale
• One recommendation, ranking, or sequential-decisioning system shipped end-to-end (modeling, evaluation, deployment, monitoring, iteration)
• Fluency in experimentation and A/B testing: multi-arm tests, sequential testing, CUPED, and the common failure modes of online experiments
• Proficiency in Python and SQL; able to read a colleague's PR and improve it
• Deep understanding of machine learning and applied statistics

Preferred Qualifications

• Contextual bandits or reinforcement learning operated in production
• Multi-objective optimization (engagement vs. adherence vs. retention vs. cost)
• Causal inference beyond A/B testing: difference-in-differences, synthetic controls, instrumental variables
• Cold-start and low-data-regime modeling (healthcare gets thin on per-member data fast)
• Experience hiring and growing a small ML team
• Healthcare, fintech, or other regulated-data experience; familiarity with HIPAA and BAA constraints
• Familiarity with our adjacent stack: Statsig, Databricks, feature stores, Airflow/dbt
• Familiarity with TypeScript

About Hinge Health

Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California.

What You'll Love About Us

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
• Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
• Modern life stipends: Manage your own learning and development
• Culture & Engagement: Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities.

Compensation Range

$204,608 - $306,912