Staff Machine Learning Engineer - Remote Eligible

Staff Machine Learning Engineer

How can we use data to build systems that enable access to significantly better health care? In this role as Staff Machine Learning Engineer, you will play a technical leadership role in leading the development and deployment of machine learning models that drive care personalization, treatment recommendations, and automation across our platform. Your work will directly impact strategic components of MedMatch, our AI-powered system that enhances provider-patient interactions, optimizes treatment recommendations, and expands into new verticals.

You Will:

• Lead and contribute to the design and deployment of ML and LLM models for recommendation systems and personalized treatment strategies

• Work extensively with Python and ML libraries like PyTorch to scale and refine complex models

• Write high-quality, scalable, and production-ready code to support advanced ML applications

• Collaborate with engineers and product managers to deliver ML models integrated into real-world systems

• Design, scale, and improve ML infrastructure components to accelerate model training, evaluation, and deployment

• Research and integrate cutting-edge ML tools and frameworks, keeping the company at the forefront of ML and LLM advancements

• Mentor engineers within and across squads, sharing expertise in ML modeling, deployment, and best practices

• Drive improvements in team process and foster cross-team collaboration

You Have:

• 5+ years of experience in Machine Learning and/or Engineering, with a deep focus on hands-on model development and deployment

• Expert-level proficiency in Python and deep experience in ML frameworks like PyTorch

• Proven success leading ML model development and deployment efforts across multiple projects

• Strong background in LLMs and NLP applications, including applications like summarization and chatbots

• Proficiency in ML deployment best practices, with the ability to bring models from research to production

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

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

• A collaborative mindset, strong problem-solving skills, and the ability to influence direction across teams and technical areas

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 local fair chance laws.

Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation.

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