Sr. Staff Machine Learning 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 hims.com/about and 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.

About the Role:

How can we use data to build systems that enable access to significantly better health care? In this role as Sr. Staff Machine Learning Engineer, you will define and lead the architecture and development of large-scale, foundational machine learning systems that power care personalization, treatment intelligence, and automation at scale. Your work will directly shape MedMatch—our AI-powered system—by owning the architecture and direction of key ML components, enhancing provider-patient interactions, optimizing treatment recommendations, and expanding into new verticals.

You Will:

• Own and drive architectural decisions for ML and LLM models for treatment recommendation, personalization, and intelligent care delivery

• Work extensively with Python and ML libraries like PyTorch to build, optimize, and scale complex model pipelines

• Write and review high-quality, production-ready code supporting high-impact, cross-team ML systems

• Partner with engineers and product leadership to align ML development with strategic priorities

• Architect a robust ML infrastructure to enable streamlined training, evaluation, deployment, and monitoring

• Drive the adoption of new ML technologies and practices, contributing to long-term group-level technical maturity

• Mentor senior and staff-level engineers across multiple squads, guiding system-level thinking and best practices

• Champion a culture of scalable system design, engineering rigor, and customer-first innovation

You Have:

• 8+ years of experience in Machine Learning and/or Engineering, with a track record of technical leadership and ML system architecture

• Expert-level proficiency in Python and advanced ML frameworks such as PyTorch, TensorFlow

• Demonstrated success in architecting and maintaining ML platforms at scale across teams or business units

• Deep experience in LLMs and NLP, including transformer models, summarization, and chatbot applications

• Advanced understanding of ML infrastructure, including continuous training, real-time inference, and operational reliability

• Experience with ML infrastructure tools (e.g., Databricks, MLFlow, AWS SageMaker)

• A Master’s degree or PhD in Computer Science, Machine Learning, or a related field (not strictly required)

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

Our Benefits (there are more but here are some highlights):

• 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 matching contribution

• Offsite team retreats

We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.

Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or