Hims & Hers is a 100% online healthcare platform that provides personalized care and consultation for sexual health, hair regrowth, weight loss, skincare, and mental health. With over 2 million subscribers, Hims & Hers connects patients with licensed healthcare professionals, offering prescription medications and ongoing support delivered directly to their doors. The platform aims to make healthcare accessible, affordable, and discreet, ensuring that users can manage their treatment conveniently through an app.
March 12
Hims & Hers is a 100% online healthcare platform that provides personalized care and consultation for sexual health, hair regrowth, weight loss, skincare, and mental health. With over 2 million subscribers, Hims & Hers connects patients with licensed healthcare professionals, offering prescription medications and ongoing support delivered directly to their doors. The platform aims to make healthcare accessible, affordable, and discreet, ensuring that users can manage their treatment conveniently through an app.
• Collaborate with ML engineers, data scientists, product managers and other engineering teams to build, deploy, and scale machine learning-based systems, ensuring their reliability and performance in production • Help guide and make technical decisions based on your knowledge of productionizing data science and ML models, balancing innovation and operational efficiency • Evaluate and implement state-of-the-art tools and frameworks, bringing a broad awareness of the machine learning and LLM production landscape into the company • Mentor and be mentored by other engineers • Actively participate in retrospectives and help drive continuous improvement in our process and culture
• 10+ years working in Engineering and/or Machine Learning Engineer with a proven record of developing and maintaining machine learning production systems • Expertise with the modern machine learning orchestration and deployment tool stack (such as Databricks MLFlow, AWS SageMaker, Metaflow) • Proficiency in Python and machine learning libraries and frameworks (e.g., PyTorch, Scikit-learn, Tensorflow) • Strong understanding of MLOps principles and experience automating workflows for model training, deployment, and monitoring • Familiarity with machine learning fundamentals, statistical modeling techniques, and data preprocessing pipelines • Experience with LLM deployment tooling is a plus • Masters in Computer Science or related fields • A collaborative mindset and excellent communication skill
• 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) • Employee discounts on hims & hers & Apostrophe online products • 401k benefits with employer matching contribution • Offsite team retreats
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