Hims & Hers

Healthcare

StaffMachineLearningSystemsEngineer(MLOps)

$210–250k San Juan, Puerto Rico; United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Machine Learning Systems Engineer (MLOps) at Hims & Hers. Skills: MLOps, Infrastructure Engineering, Cloud Platform. Own and scale AI compute platform. Evolve containerized application deployment platform”

What You'll Achieve.

Ensure AI systems reliable; Ensure AI systems observable; Ensure AI systems secure; Ensure AI systems trustworthy; Define how AI runs; Improve developer velocity

Industry & Context.

Healthcare
Problems you'll solve

Root cause analysis; Troubleshooting; Debugging

What They're Looking For.

Must Have

5+ years infrastructure experience, Experience with Kubernetes, Experience with CI/CD pipelines, Experience with Infrastructure-as-Code, Experience with inference infrastructure, Experience with model-serving infrastructure, Experience with observability stack, Experience with tracing stack

Nice to Have

Experience with EKS clusters, Experience with deployment infrastructure, Experience with autoscaling infrastructure, Experience with IAM, Experience with secrets management, Experience with Langfuse, Experience with Datadog, Experience with OpenTelemetry, Experience with ClickHouse, Experience with Terraform, Experience with Scalr

What You'll Do.

Own and scale AI compute platform

Evolve containerized application deployment platform

Manage AI workloads orchestration

Operate Kubernetes clusters

Manage node lifecycle

Build GitOps deployment pipelines

Design ephemeral environments

Implement feature-branched deployments

Create nightly release pipelines

Operate inference infrastructure

Manage LLM gateway credentials

Manage LLM gateway rate limits

Manage LLM gateway failover

Build reliable serving patterns

Create infrastructure abstractions

Standardize AI service deployment

Standardize AI service configuration

Standardize AI service consumption

Own LLM/AI observability stack

Provision observability systems

Scale observability systems

Build analytics pipelines

Build monitoring pipelines

Surface latency signals

Surface error signals

Surface quality signals

Surface regression signals

Create on-call runbooks

Manage incident response

Troubleshoot AI lead issues

Raise platform reliability

Own and improve monorepo build system

Improve CI/CD pipelines

Manage eval workflows

Manage Docker image builds

Execute cross-platform tests

Own shared infrastructure tooling

Eliminate platform bottlenecks

Reduce CI/CD cycle times

Reduce deployment friction

Improve developer velocity

How You'll Work.

Team & Collaboration

Partner with ML engineers; Partner with product engineers; Partner with clinical teams; AI teams; Product engineers; Clinical teams; Applied AI organization

Process & Methodology

GitOps, CI/CD

Full Job Description

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.  Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about http://hims.com/about and hims.com/how-it-works http://hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals http://www.hims.com/careers-professionals. ABOUT THE ROLE: We're hiring a Staff ML Systems Engineer to design, build, and operate the production infrastructure that powers AI across Hims & Hers. This is a deeply technical, hands-on infrastructure role focused on the systems underneath AI — the Kubernetes platform, CI/CD and GitOps pipelines, infrastructure-as-code, inference and model-serving infrastructure, and the observability and tracing stack that keeps AI services reliable, debuggable, and compliant in production. You won't just deploy models — you'll own the machinery that lets every AI team ship and operate safely. You'll own critical systems like our EKS clusters, deployment and autoscaling infrastructure, IAM and secrets management, LLM tracing/observability pipelines (Langfuse, Datadog, OpenTelemetry), and the developer platform that AI and product engineers rely on daily. You'll partner with ML engineers, product engineers, and clinical teams to ensure our AI systems are reliable, observable, secure, and trustworthy in a regul

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