Lead Machine Learning Engineer

Summary

Join Hims & Hers Health, Inc. as a Lead Machine Learning Engineer and contribute to building data-driven products that improve healthcare access. Collaborate with engineers, data scientists, and product managers to implement and scale machine learning systems. You will leverage your expertise in MLOps, modern ML tools, and Python to guide technical decisions and mentor other engineers. This role requires 10+ years of experience in engineering or machine learning, proficiency in Python and relevant libraries, and a strong understanding of MLOps principles. Hims & Hers offers a competitive salary and equity, unlimited PTO, comprehensive health benefits, and more.

Requirements

• 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
• Masters in Computer Science or related fields
• A collaborative mindset and excellent communication skills

Responsibilities

• 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

Preferred Qualifications

Experience with LLM deployment tooling

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)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats