Principal ML Engineer - Scalable AI Platform, Remote

Hims & Hers; United States; Remoto; USD 230.000 - 320.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive salary & equity

Unlimited PTO & holidays

Comprehensive health benefits

ESPP

401k with company match

Offsite team retreats

Resumo da vaga

Hims & Hers Health, Inc. is seeking a Principal Machine Learning Engineer to define and drive architectural vision for large-scale ML models powering personalized care.

You will build resilient ML platforms, enable production-grade training, deployment, and real-time inference across care delivery systems, including MedMatch. You will mentor senior engineers, establish design patterns, and partner with clinical and product teams to align ML strategy with long-term goals.

Qualificações

• 10+ years of ML/engineering experience with leadership across teams.
• Expert Python; advanced ML frameworks (PyTorch, TensorFlow).
• Proven success designing and scaling ML platforms for production.
• Deep experience with LLMs, NLP, transformers, embedding retrieval.
• Strong ML infra knowledge: training, inference, observability, reliability.

Responsabilidades

• Define architectural vision for ML/LLM systems at scale.
• Establish scalable, secure, maintainable patterns and infra.
• Prototype and guide model pipelines using Python and ML frameworks.
• Collaborate with platform, product, and clinical teams on strategy.
• Evolve ML infra for continuous training, real-time inference, monitoring.

Conhecimentos

Python

PyTorch

TensorFlow

LLMs

NLP

System architecture

Leadership

Formação

Master’s degree or PhD in CS/ML (not strictly required)

Ferramentas

Databricks

MLFlow

SageMaker

Descrição da vaga

Hims & Hers Health, Inc. is seeking a Principal Machine Learning Engineer to define and drive architectural vision for large-scale ML models powering personalized care.

You will build resilient ML platforms, enable production-grade training, deployment, and real-time inference across care delivery systems, including MedMatch. You will mentor senior engineers, establish design patterns, and partner with clinical and product teams to align ML strategy with long-term goals.