Computer Vision Intern

Hinge Health

Hinge Health is moving people beyond pain by transforming the way it is treated and prevented. Connecting people digitally and in-person with expert clinical care, we combine advanced technology, AI and a care team of experts to guide people through personalized care directly from their phone. Our approach is proven to reduce pain by 68%, prevent 42% of new opioid prescriptions, and avoid more than half of joint replacement surgeries. Available to 18M people, Hinge Health is trusted by leading health plans and employers, including Land O’Lakes, L.L. Bean, Salesforce, Self-Insured Schools of California, Southern Company, State of New Jersey, US Foods, and Verizon.Learn more at
Here at Hinge Health, we welcome all applicants and know a diverse team makes us better and stronger. We look for individuals who embody our leadership principles and we value varied experiences and skill sets. Beyond specific work experience, we also look for unique capabilities and skill sets that are key indicators an applicant will thrive in our fast-paced, frequently evolving environment. If this sounds like the kind of place you’d like to be part of, please apply – we would love to hear from you!
Hinge Health Hybrid Model:We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 2 days/week. We will be expanding to 3 days/week in the office beginning April of 2024.
About the RoleWe are looking for a motivated student to join our Computer Vision (CV) Science team at Hinge Health. You will be part of a team composed of eight highly-skilled CV scientists with a great amount of combined experience. You will be investigating novel approaches to improve upon the monocular 3D Human Pose Estimation engine that enables the use of CV for guided Exercise Therapy. You will be closely mentored by a supportive scientist in our team, while being exposed to several adjacent CV and Machine Learning (ML) tasks. You will have the opportunity to improve your industrial research skills and develop solutions that will potentially benefit millions of members. Moreover, we will attempt to publish any relevant research findings in a high-impact conference or journal.


  • Research and development of novel ML models for 3D Human Pose Estimation.
  • Gain a deep understanding of the state-of-the-art pose estimation solutions and obtain familiarity with the commonly used algorithms and datasets.
  • Propose innovative approaches to maximize pose estimation accuracy under privacy-preserving conditions, and learn how to evaluate them fairly.
  • Possibility of publication on a top CV venue (e.g. CVPR, ICCV).
  • Gain experience about performing scientific research in a consumer-facing and results-driven setting.  


  • Intermediate scientific programming skills in Python. 
  • Preferably, knowledge of a Machine Learning framework such as Tensorflow or PyTorch.
  • Interest and/or experience in Computer Vision.
  • Problem-solving ability and excellent critical thinking skills.


  • Research experience, as illustrated by peer-reviewed publications in adjacent areas (AI/ML).
  • Demonstrable experience with Computer Vision (e.g., public repositories, publications, lecture slides).

About Hinge Health:LinkedIn recently named Hinge Health one of the Top 50 Startups. Forbes, Fast Company, and Inc. have also recognized our technology, innovation, and culture.
Since our founding in 2014, we’ve raised more than $800 million from leading investors, including Coatue and Tiger Global. We work with 1000 customers across every industry and the public sector — including Salesforce, Verizon, and the State of New Jersey — to give more than 23 million people access to the care they need. We’re positioned to continue leading the market with unmatched investments in clinical research, care innovation, machine learning, AI, and computer vision.
Diversity and Inclusion:We’re committed to building diverse teams that reflect the communities we serve. Visit to learn more about what moves us. 
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 providing your information through this page or applying for a job at Hinge Health, you acknowledge that Hinge Health will collect, use, and process your information as part of our job application process. For more information on how Hinge Health processes your personal information, click here to view our Applicant and Personnel Privacy Notice.
Disclaimer:There continues to be a significant increase in phishing attempts across all industries where fraudsters are impersonating real employees and sending fictitious job offers to applicants in a scheme to obtain sensitive information. Please note that we will never ask for your financial information at any part of the interview process including the post-offer stage, and will only correspond through domain email addresses.
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