Sr. Machine Learning Systems Engineer

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  and  For information on the company’s outstanding benefits, culture, and its talent‑first flexible/remote work approach, see below and visit

How can we design and scale the systems that make advanced AI/ML possible in healthcare? In this role as Sr. Staff Machine Learning Systems Engineer, you will lead the development of foundational ML ecosystem components that power our various AI models’ training, evaluation, deployment, and monitoring.

We are seeking deep specialists who bring world‑class expertise in one of three critical domains:

• ML data pipelines: building reproducible, high‑quality data ingestion, transformation, and feature engineering pipelines at scale.
• ML evaluation algorithms and infrastructure: designing and scaling evaluation frameworks, algorithms, and infrastructure for model quality, performance monitoring, and drift detection.
• ML systems debug and visualization tooling: creating tools and platforms to debug, visualize, and interpret ML models and pipelines, accelerating productivity and system reliability.

Your work will directly shape how we operationalize ML by ensuring the systems behind model development and deployment are robust, transparent, and future‑proof.

• Own and drive architectural decisions within your area of ML systems expertise (data pipelines, evaluation infra, or debug/visualization tooling).
• Build, optimize, and scale infrastructure that enables reproducible, efficient, and trustworthy ML workflows.
• Write and review high‑quality, production‑ready code supporting foundational ML platforms and services.
• Partner with ML engineers, data scientists, and platform engineers to ensure infrastructure meets research and production needs.
• Drive adoption of modern ML systems and platform practices, contributing to long‑term organizational technical maturity.
• Mentor senior and staff‑level engineers, guiding best practices within your specialization.
• Champion a culture of reliability, scalability, and engineering rigor across ML systems initiatives.

• 8+ years of experience in distributed systems, data engineering, or ML infrastructure, with a track record of technical leadership at scale.
• Expert‑level proficiency in one of the following areas:
  • ML data pipelines: designing and maintaining feature stores, dataset versioning systems, and high‑throughput ML pipelines.
  • ML evaluation algorithms and infrastructure: building large‑scale evaluation algorithms, frameworks, benchmarking systems, and continuous monitoring.
  • ML systems debug and visualization tooling: developing debugging frameworks, visualization tools, and interpretability systems to enhance developer productivity and model reliability.
• Strong programming skills in Python, with experience in systems languages such as Go, Java, or C++ as a plus.
• Solid understanding of end‑to‑end ML workflows, with the ability to collaborate effectively across infrastructure and modeling teams.
• A Master’s degree or PhD in Computer Science, ML Systems, or a related field (not strictly required).
• Exceptional communication and cross‑org leadership skills, with the ability to align diverse stakeholders around ML systems strategy.

• Competitive salary & equity compensation for full‑time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• 401k benefits with employer…