Principal Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and lead the architectural vision for machine learning (ML) and large language model (LLM) systems that enhance treatment recommendations, personalization, and intelligent care delivery at scale.

• Establish essential design patterns and infrastructure practices to create scalable, resilient, secure, and maintainable systems.

• Engage directly with Python and ML frameworks like PyTorch to prototype, optimize, and oversee the implementation of complex model pipelines and platform components.

• Align significant technical decisions with long-term product strategies in collaboration with platform, product, and clinical teams.

• Design and advance ML infrastructure that supports continuous training, real-time inference, evaluation, and observability.

• Lead cross-functional initiatives aimed at reducing system complexity, enhancing developer velocity, and increasing organizational efficiency.

• Establish quality standards for testing, observability, performance, and operational risk across teams.

• Mentor senior and staff engineers across various squads.

• Advocate for sustainable speed, system ownership, and architectural clarity among product and platform teams.

• Develop foundational ML models and applications that drive care personalization, treatment intelligence, automation, and MedMatch at Hims & Hers, a health and wellness platform.

⛳️ Requirements

• A minimum of 10 years of experience in Machine Learning and/or Engineering.

• Proven track record of technical leadership and system architecture across teams or business areas.

• Expert-level proficiency in Python.

• Advanced proficiency with ML frameworks, including PyTorch or TensorFlow.

• Experience in designing, scaling, and evolving ML platforms that support production-grade training, deployment, real-time inference, and monitoring.

• Extensive experience in LLMs and natural language processing (NLP), including transformer models, summarization, conversational agents, and embedding-based retrieval.

• Advanced knowledge of ML infrastructure, continuous training, system observability, performance optimization, and platform reliability.

• Familiarity with ML infrastructure tools such as Databricks, MLFlow, SageMaker, or equivalent technologies.

• Exceptional communication skills and the ability to lead across organizations.

• A Master’s degree or PhD in Computer Science, Machine Learning, or a related field is preferable but not mandatory.

• Legal authorization to work in the U.S. without restrictions for any employer.

• No requirement for immigration sponsorship by Hims & Hers to be employed in the U.S.

🏝️ Benefits

• Equity compensation for full-time positions.

• Unlimited paid time off (PTO).

• Company holidays.

• Quarterly mental health days.

• Comprehensive medical, dental, and vision benefits.

• Parental leave.

• Employee Stock Purchase Program (ESPP).

• 401k benefits with employer matching contributions.

• Offsite team retreats.

• Flexible and remote work options.

• Reasonable accommodations for qualified individuals with disabilities and disabled veterans.