Hinge Health

Senior Machine Learning Engineer - Remote

Job description

Hinge Health is building the world’s most patient-centered Digital Musculoskeletal (MSK) Clinic™. It is now the leading Digital MSK Clinic, used by four in five employers and 90% of health plans with a digital MSK solution. Hinge Health reduces MSK pain, surgeries, and opioid use by pairing advanced wearable sensors and computer vision technology with a comprehensive clinical care team of physical therapists, physicians, and board-certified health coaches.

To learn more about our company and culture please visit:

We’re looking for an experienced machine learning engineer to join our team. The primary role of this position is to develop intelligent machine learning algorithms in user health data to discover patterns, recommend care plans and predict outcomes.

The ideal candidate is a driven and talented machine learning engineer with a proven research track record, an ability to quickly solve difficult technical problems and a hunger to use machine learning ethically to positively impact thousands of lives. They have a deep understanding of machine learning and continually endeavor to learn about the latest developments. They have experience with a broad range of ML topics such as recommender systems, supervised and unsupervised learning models, reinforcement learning, natural language processing, etc. They are skilled in computer programming and are adept with relevant tools for data analysis, model training and deployment.


  • Build predictive models that can be used to predict a specific outcome with high accuracy.
  • Continually refine existing models by building in and advocating for feedback collection.
  • Identify underlying insights revealed by analyzing model weights and structures - revealing why the models make the predictions they do.
  • Communicate and evangelize new ML models and approaches across the company.
  • Manage, wrangle, and pre-process multiple data sources so that the resulting data is appropriately formatted for machine learning and advocate for new data (fields/types) that would unlock new insights.
  • Understand, demonstrate and explain execution performance and execution limitations of proposed model architectures in a production setting.


  • Skills: Python, Tensorflow/Pytorch (or other), at least 1 other language
  • Behaviors: Versatile, resourceful and results-driven


  • Demonstrated experience in natural language processing (NLP)
  • Demonstrated experience working with user and/or personal health data
  • Experience deploying production ML systems
  • Experience in C++ (or another system level language)
  • Published works in top ML publications

If you're interested - we'd love to hear from you. No recruiters, please.

Hinge Health is proud to be an Equal Employment Opportunity employer.
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.

Hinge Health is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you feel you need assistance or an accommodation due to a disability, please let us know by reaching out to your Recruiter and we'll work with our accommodations team to evaluate your request.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

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