Staff Machine Learning Scientist

Hinge Health · Remote

Posted
72 days ago
Last confirmed live
1 day ago

What this role involves

This Staff ML Scientist role leads machine learning for member communications at Hinge Health, optimizing message timing, channel, and propensity. The candidate will ship recommendation or sequential-decisioning systems, drive experimentation rigor, and mentor a small ML team. Required qualifications include 7+ years building consumer-scale production ML systems and deep expertise in A/B testing and applied statistics.

Skills this posting asks for

  • python
  • sql
  • machine learning
  • statistics
  • experimentation
  • a/b testing
  • sequential testing
  • cuped
  • recommendation systems
  • ranking systems
  • sequential decisioning
  • contextual bandits
  • reinforcement learning
  • causal inference
  • hipaa
  • databricks
  • airflow
  • dbt
  • feature stores
  • typescript
  • multi-objective optimization

Requirements

  • 7 years of experience
  • Level: staff

From the employer’s posting

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…

Read the full description on Hinge Health’s careers page

Apply without filling the form

Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.

Other roles at Hinge Health

All 21 roles at Hinge Health