Principal Machine Learning Engineer

hims & hers

. Define and drive the architectural vision for ML and LLM systems supporting treatment recommendation, personalization, and intelligent care delivery at scale .

Posted 11/10/2026full-timeRemote • United StatesLead💰 $180,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Machine Learning and system architecture, with a strong focus on Python and ML frameworks like PyTorch. Proven ability to lead cross-functional teams, mentor engineers, and drive architectural vision for scalable ML systems in healthcare.

Highest-signal resume keywords

Machine Learning ExpertisePython ProficiencyML Frameworks (PyTorch, TensorFlow)System Architecture LeadershipML Infrastructure Tools (Databricks, MLFlow, SageMaker)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningPythonML FrameworksLLMsNLPTransformer ModelsPerformance OptimizationContinuous TrainingReal-Time InferenceSystem Observability

Soft Skills

Exceptional CommunicationCross-Org LeadershipMentoring

Tools & Technologies

DatabricksMLFlowSageMaker

Certifications & Qualifications

Master’s Degree in Computer SciencePhD in Machine Learning

Industry Keywords

HealthcareTreatment RecommendationPersonalizationIntelligent Care DeliveryOperational Risk

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Define and drive the architectural vision for ML and LLM systems supporting treatment recommendation, personalization, and intelligent care delivery at scale
Establish foundational design patterns and infrastructure practices for scalable, resilient, secure, and maintainable systems
Work hands-on with Python and ML frameworks such as PyTorch to prototype, optimize, and guide implementation of complex model pipelines and platform components
Align high-impact technical decisions with long-term product strategy in partnership with platform, product, and clinical teams
Architect and evolve ML infrastructure supporting continuous training, real-time inference, evaluation, and observability
Lead cross-functional initiatives to simplify system complexity, improve developer velocity, and increase organizational leverage
Define quality standards for testing, observability, performance, and operational risk across teams
Mentor senior and staff engineers across squads
Champion sustainable speed, system ownership, and architectural clarity across product and platform teams
Build foundational ML models and applications powering care personalization, treatment intelligence, automation, and MedMatch at Hims & Hers, a health and wellness platform

Requirements

What you’ll need

10+ years of experience in Machine Learning and/or Engineering
Strong track record of technical leadership and system architecture across teams or business areas
Expert-level proficiency in Python
Advanced proficiency with ML frameworks such as PyTorch or TensorFlow
Experience designing, scaling, and evolving ML platforms supporting production-grade training, deployment, real-time inference, and monitoring
Deep experience in LLMs and NLP, including transformer models, summarization, conversational agents, and embedding-based retrieval
Advanced understanding of ML infrastructure, continuous training, system observability, performance optimization, and platform reliability
Experience with ML infrastructure tools such as Databricks, MLFlow, SageMaker, or equivalent
Exceptional communication and cross-org leadership skills
Master’s degree or PhD in Computer Science, Machine Learning, or a related field is mentioned but not strictly required
Legal authorization to work in the U.S. without restriction for any employer
Must not require immigration sponsorship by Hims & Hers to work in the U.S.

Benefits

Comp & perks

Equity compensation for full-time roles
Unlimited 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 contribution
Offsite team retreats
Flexible/remote work approach
Reasonable accommodations for qualified individuals with disabilities and disabled veterans