About the Role

Hinge Health is a digital health company focused on providing innovative, evidence-based solutions for musculoskeletal (MSK) pain. Through a combination of personalized exercise therapy and virtual care, Hinge Health helps individuals manage and reduce chronic pain, improving their quality of life while lowering healthcare costs. The company partners with employers and health plans to offer these solutions at scale, improving overall employee health and productivity.

The AI platform team at Hinge Health is leading the way businesses leverage Artificial Intelligence. Our mission is to build cutting-edge AI platforms that empower organizations to unlock the full potential of their data. We are looking for passionate, innovative engineers to join our dynamic team and help us shape the future of AI.

We are seeking a Staff Software Engineer to join our AI Platform team. In this role, you will play a key part in designing, developing, and scaling the core infrastructure that powers our AI capabilities. You will work with a talented team of engineers and scientists to deliver high-performance, reliable, and scalable platforms that support machine learning workflows, data pipelines, and Generative-AI driven applications.

As a Staff Software Engineer, you will have the opportunity to influence the architecture of our platform, mentor junior engineers, and lead initiatives that drive the evolution of our AI infrastructure. You should be passionate about building high-quality software, have a deep understanding of AI systems, and be excited to work on complex challenges at scale.

What You'll Accomplish

• Platform Design & Development: Lead the design, development, and deployment of key components of our AI platform. Build scalable, reliable, and high-performance systems that support machine learning models, data pipelines, and other AI-driven services.

• Collaboration: Work closely with ML scientists, product engineering, and application teams to translate AI requirements into robust platform solutions.

• Mentorship & Leadership: Provide technical leadership and mentorship to junior engineers, promoting best practices in software engineering, testing, and development.

• Optimization: Identify bottlenecks and optimize system performance to handle large-scale AI workloads and improve the efficiency of AI model training and inference.

• Infrastructure & Scalability: Build and maintain a highly scalable and fault-tolerant infrastructure that can support rapid growth in data volume, complexity, and usage.

• Innovation: Stay up-to-date with the latest trends and advancements in AI, machine learning, and cloud technologies. Continuously improve the platform based on industry best practices.

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 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program.

Basic Qualifications

• Bachelor’s Degree (or equivalent) in Computer Science, Engineering or related technical field

• 8+ years of non-internship full time professional software engineering experience, with at least 2 years working on AI platforms, machine learning systems, or data infrastructure

• 2+ years experience in Python

• 1+ years experience in ML frameworks and model deployment

• 2+ years experience with cloud platforms and containerization tools

• 2+ years experience working in distributed systems, microservices architectures, and large-scale data processing

• 2+ years of experience in mentoring and leading junior team members, collaborating effectively with cross-functional teams, and contributing to project planning and decision-making

Preferred Qualifications

• Experience building and maintaining end-to-end AI/ML platforms or services in a cloud environment

• Knowledge of infrastructure-as-code tools like Terraform or CloudFormation

• Familiarity with data engineering practices and tools (e.g., Spark, Kafka, ETL pipelines)

• Contributions to open-source AI or software engineering projects

Compensation

This position will have an annual salary, plus equity and benefits. Please note the annual salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. The annual salary range for this position is $193,600 - $290,400.

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 care—from acute injury, to chronic pain, to post-surgical rehabilitation—and 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 http://www.hingehealth.com

What You'll 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 isn’t 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

Diversity and Inclusion

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.

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