Staff Machine Learning Engineer

August 19

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hims & hers

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Healthcare Insurance • eCommerce • Wellness

Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.

201 - 500 employees

Founded 2017

⚕️ Healthcare Insurance

🛍️ eCommerce

🧘 Wellness

📋 Description

• 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. • 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

🎯 Requirements

• 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

🏖️ Benefits

• 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