Machine Learning Apprentice

One in two people experience debilitating back, neck, shoulder, or joint pain — but traditional treatments have failed to meet their needs. Physical therapy can be expensive and hard to access; appointments often involve long commutes and missed work. Making matters worse, unresolved pain can trigger the overuse of opioids and surgeries.
Join us in reimagining healthcare from the ground up. We’re making high-quality care accessible by pairing wearable sensors and computer vision with a world-class clinical team. Hinge Health puts a digital clinic in every member's pocket. Now millions of people can access personalized digital care from a physical therapist, guidance on behavior change from a health coach, and expert consultations with an orthopedic surgeon. With a single app and wearable technology like our Enso device, we’re helping to reduce pain, surgeries, and opioid use.
Work from anywhere:
Hinge Health employees have the flexibility to work remotely in hubs across the US, Canada, and Latin America or work from our offices in San Francisco, Portland, and Montreal.
To Learn more  about our company & culture please visit: http://www.hingehealth.com & https://www.hingehealth.com/diversity-equity-and-inclusion/
About the role:
We are seeking apprentices for our Engineering Apprenticeship program. Our goal upon the successful completion of the 6 month program is to offer apprentices full time software engineering positions at Hinge Health. 
Engineering apprentices at Hinge Health work in a highly collaborative cross functional team. They participate in agile ceremonies, test tickets and the app, and collaborate on program level and independent work. We ensure apprentices have a supportive manager who they meet with regularly, and we pair them with a mentor to work on skill development and increase their comfort with the tech stack and workflow. 
Ideally, you have some scientific computing experience in Python. Some exposure (including school work, or online training such as Coursera) to AI/Machine Learning concepts and framework (e.g. Tensorflow) will be a definite asset. Some experience in mobile (iOS, Android) development will be an asset as well. You will have the opportunity to learn how to deploy neural networks to run on edge devices using frameworks such as Tensorflow Lite and CoreML.

WHAT YOU’LL ACCOMPLISH

• Every day, you’ll join the team’s standup and other agile ceremonies.
• Every week, you’ll support the team by verifying tickets and performing manual testing.
• Every sprint, you’ll open a pull request (PR) to deliver a bite-sized feature or documentation update.

WHAT WE'RE LOOKING FOR

• Delivery: Reliably delivers on commitments.
• Domain Expertise: Basic understanding of tech stacks and coding standards.
• Problem-solving: Ability to think critically and analytically.
• Communication: Succinct and respectful communicator who listens actively and has strong comprehension skills. 
• Leadership: Takes responsibility for the quality of their work. Speaks up in team meetings.

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. Today, Hinge Health is the leading Digital MSK Clinic, used by 4 in 5 employers and nearly 90% of health plans with a digital MSK solution. We work with 900+ customers across every industry and the public sector — including Salesforce, Verizon, and the State of New Jersey — to give more than 20 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 hingehealth.com/diversity-equity-and-inclusion 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.
If you're interested - we'd love to hear from you. No recruiters, please.