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About the Role
The Proactive Communications & Notifications pod is creating systems that determine what message a member receives, when, and through which channel. As a Senior AI Engineer focused on MLOps and distributed systems, you will own the production path that turns models and AI capabilities into dependable member-facing experiences. You’ll design and operate the deployment, serving, release automation, monitoring, rollback, orchestration, and backend integration systems that make AI reliable, observable, scalable, and cost-conscious in production.
Responsibilities
- Build context on Hinge Health’s member experience, communication systems, model lifecycle, data flows, and operational requirements.
- Establish a clear baseline for the health of key AI-backed services, including service-level objectives, deployment paths, observability, failure modes, and operational ownership.
- Ship targeted improvements to developer experience, testing, release safety, or incident response that make the team faster and more predictable.
- Own the design and delivery of a production MLOps or distributed-systems initiative from technical plan through rollout, measurement, and iteration.
- Build or improve safe promotion patterns for model-backed services, including versioning, configuration, feature flags, canaries, rollback, and recovery.
- Partner with ML Scientists and Data Engineering to define durable interfaces, data contracts, feature inputs, freshness expectations, evaluation hooks, and production-readiness criteria.
- Operate reliable online and batch inference capabilities that meet clear contracts for latency, availability, correctness, resiliency, observability, and cost.
- Create reusable patterns for APIs, services, queues, durable workflows, monitoring, and incident response that help the pod integrate AI into notifications, personalization, send-time optimization, and related experiences.
- Lead through influence by shaping technical decisions, mentoring engineers, raising the quality bar through design and code review, and connecting system reliability to outcomes such as message relevance, engagement, reduced communication fatigue, and sustained participation in care.
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.
- Demonstrated experience deploying and operating ML- or AI-backed services in production, with strong proficiency in Python and at least one production backend language such as TypeScript/JavaScript, Go, Java, or Kotlin.
Skills
- MLOps
- Distributed Systems
- Python
- TypeScript/JavaScript
- Go
- Java
- Kotlin
- Kubernetes
- Docker
- Kafka
- PostgreSQL
- Airflow
- Databricks
- MLflow
- Temporal
- Step Functions
- Cadence
- Generative AI
- LLMs
- Retrieval
- Agents
- Model Evaluation
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- Inclusive healthcare, dental, and vision coverage
- Help with gender-affirming care
- Tools for family and fertility planning
- Travel reimbursements for healthcare
- Traditional or Roth 401k retirement plan options with a 2% company match
- Modern life stipends for learning and development
- Discounted company stock through ESPP
About the Company
- At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide.
- With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain.
- The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.
- As the preferred partner to 60+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,800 employers.
- The company is headquartered in San Francisco with additional offices in Montreal and Bangalore.
Equal Opportunity
- 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.