Hinge Health

Hinge Health

Senior AI Engineer, MLOps & Distributed Systems

San Francisco-HQ · Senior · Full-time

Sponsorship not specifiedDetected 21 days ago
JavaScriptTypeScriptPythonJavaGoDistributed SystemsCode ReviewPostgreSQLDatabricksAWSDockerKubernetesTemporalKafkaMachine LearningAirflowData EngineeringLLMsMLOpsAI OrchestrationIncident ResponseComplianceCadenceHIPAA

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

8 transfer filings in the last year, covering 8 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • The Proactive Communications & Notifications pod is creating the systems that determine what message a member receives, when they receive it, and which channel is most helpful.
  • When these decisions are timely, relevant, and respectful, they can help members stay engaged with care and make progress toward better health outcomes.
  • You'll work closely with ML Scientists, Data Scientists, Data Engineering, Product, and Software Engineering.

Responsibilities

  • 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.
  • You do not need to be a research scientist or own model training strategy; your impact will come from making AI capabilities safe to ship, easy to operate, and straightforward for the team to improve.
  • 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.

Requirements

  • 3+ years of non-internship, full-time professional software engineering experience.
  • 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.
  • 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.

Nice to have

  • Experience with online inference, batch scoring, recommendation systems, ranking, propensity models, or send-time optimization.
  • Experience with AWS and production technologies such as Kubernetes, Docker, Kafka, PostgreSQL, Airflow, Databricks, MLflow, or equivalent systems.
  • Experience with workflow orchestration and long-running state, including Temporal, Step Functions, Cadence, or a comparable system.
  • Experience partnering with ML Scientists or Data Scientists to define production interfaces and operate models without owning model research or training.
  • Experience integrating generative AI, LLMs, retrieval, agents, or model evaluation into production products.
  • familiarity with PHI, HIPAA, or comparable privacy constraints.
  • The San Francisco office has a dog-friendly workplace program.
  • The company is headquartered in San Francisco with additional offices in Montreal and Bangalore.

Benefits

  • Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
  • Manage your own learning and development.
  • Grow with us through discounted company stock through our ESPP with easy payroll deductions.
  • Hinge Health is an
  • 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.

Company info

  • ABOUT HINGE HEALTH 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.

Equal opportunity

  • equal opportunity employer and prohibits discrimination and harassment of any kind.
  • 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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