Principal ML Architect for Scalable Health AI

Hims And Hers; United States; À distance; USD 180 000 - 280 000; Plein temps

Avantages offerts par ce poste

Salary & equity

Unlimited PTO

Health benefits

ESPP

401k

Offsite retreats

Résumé du poste

Hims & Hers is redefining healthcare by delivering personalized care powered by data. We seek a Principal Machine Learning Engineer to define the architectural vision for large-scale ML models that power care personalization, treatment intelligence, and automation at scale.

You will work hands-on with Python and ML frameworks like PyTorch to prototype, optimize, and guide deployment of complex model pipelines and platform components, influencing product strategy and care delivery across teams.

Qualifications

• 10+ years in ML/engineering with leadership across teams
• Expert Python and ML frameworks (PyTorch, TensorFlow)
• Proven track record in production-grade ML platforms
• Deep experience with LLMs, NLP, and embeddings retrieval
• Strong ML infra knowledge: training, monitoring, observability
• Experience with ML infra tools: Databricks, MLFlow, SageMaker
• Advanced communication and cross-org leadership skills

Responsabilités

• Define and drive ML/LLM architecture for scalable care delivery
• Prototype and optimize model pipelines in Python
• Collaborate with platform, product, and clinical teams
• Architect ML infrastructure for continuous training and real-time inference
• Ensure security, reliability, and observability of systems
• Mentor senior engineers across squads
• Shape testing, performance, and operational standards
• Lead cross-functional initiatives to reduce system complexity

Connaissances

ML leadership

Python

LLMs & NLP

System scaling

Formation

Master's degree or PhD in CS/ML

Outils

Databricks

MLFlow

SageMaker

Description du poste

Hims & Hers is redefining healthcare by delivering personalized care powered by data. We seek a Principal Machine Learning Engineer to define the architectural vision for large-scale ML models that power care personalization, treatment intelligence, and automation at scale.

You will work hands-on with Python and ML frameworks like PyTorch to prototype, optimize, and guide deployment of complex model pipelines and platform components, influencing product strategy and care delivery across teams.