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Principal Machine Learning Engineer

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $180k - $200k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

Where this job comes from

Posted on hims & hers's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of hims & hers

hims & hers

201 - 500 employees

Founded 2017

🏥 Healthcare

💼 Consulting

📣 Marketing

Healthcare • Consulting • Marketing

Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.

📋 Description

• 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

• 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

• 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

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