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hims & hers · 4 months ago

Sr. Staff Machine Learning Systems Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$240K/yr - $260K/yr

8+ years exp

Hims & Hers is the leading health and wellness platform, dedicated to redefining healthcare by providing personalized care. In the role of Sr. Staff Machine Learning Systems Engineer, you will lead the development of foundational ML ecosystem components that support AI model training, evaluation, deployment, and monitoring.

Health CareLifestyleMen'sWellnessWomen's

Responsibilities

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

Qualification

ML data pipelinesML evaluation algorithmsML systems debug toolsPython programmingCommunication skillsLeadership skills

Required

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

Expert-level proficiency in one of the following areas: ML evaluation algorithms and infrastructure: building large-scale evaluation algorithms, frameworks, benchmarking systems, and continuous monitoring

Expert-level proficiency in one of the following areas: 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

Exceptional communication and cross-org leadership skills, with the ability to align diverse stakeholders around ML systems strategy