Staff Machine Learning Scientist

About the Role

Hinge Health helps people move without pain through digital musculoskeletal (MSK) care. That care only works when members keep doing their exercise therapy and the right message at the right moment is a large part of what keeps them going.

As a Staff ML Scientist on the Proactive Communications & Notifications team at Hinge Health youll own the machine learning that decides what message each member receives when and through which channel. At our scale small gains in relevance and timing compound into large gains in engagement and clinical outcomes.

Youll be the technical leader for ML on the team: setting direction for send-time optimization propensity modeling and the experimentation rigor behind every nudge we ship. Youll write code your senior engineers respect mentor a small ML team and partner closely with product data science and our growth and marketing teams.

Our ideal candidate has shipped recommendation or sequential-decisioning systems that changed how real users behave runs experiments with rigor and writes code their engineers respect. They optimize for what moves for members not model sophistication for its own sake.

What Youll 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 teams ML scientists guide technical direction and partner across product engineering data science and the growth and marketing teams.

Required Qualifications

• Bachelors 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

• At least 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 colleagues 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 carefrom acute injury to chronic pain to post-surgical rehabilitationand 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.

Learn more at

What Youll 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 isnt 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. If you feel you need assistance or an accommodation due to a disability let us know by reaching out to your recruiter.

By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.

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Staff IC