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Hinge Health

Senior AI Engineer, MLOps & Distributed Systems

Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “San Francisco-HQ”
Apply on Hinge Health's site ↗

Opens the employer's official application page.

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About this role

Hinge Health is hiring for a Senior AI Engineer, MLOps & Distributed Systems role (full-time). See the official posting for full details.

Requirements

  • You are a senior software engineer with strong backend and distributed-systems experience, and you enjoy owning systems across their full lifecycle—from architecture and implementation through launch and operations.
  • You are an owner-operator who is comfortable with on-call, incident response, debugging, root-cause analysis, and the follow-through required to prevent recurring failures.
  • You are a learn-it-all who can develop enough fluency in ML systems to ask strong questions, clarify interfaces, evaluate trade-offs, and help model owners bring their work safely into production.
  • You practice effective communication: you write clear technical proposals, make risks and decisions visible, and explain complex system behavior to technical and non-technical partners.
  • You lead at all levels by staying hands-on while creating leverage through reusable patterns, thoughtful code reviews, pairing, mentoring, and practical improvements to the team’s engineering workflow.
  • You care deeply about privacy, security, auditability, and the safe handling of sensitive healthcare data.
  • 3+ years of non-internship, full-time professional software engineering experience.
  • 3+ years designing, building, and operating backend or distributed systems in production, including experience participating in on-call and incident response.

Summarized from the employer's posting — check the full posting for every requirement.