Senior Staff Machine Learning Engineer

September 2

Apply Now

Receive Emails with Similar Jobs

hims & hers

WebsiteLinkedInAll Job Openings

Healthcare Insurance • eCommerce • Wellness

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.

201 - 500 employees

Founded 2017

⚕️ Healthcare Insurance

🛍️ eCommerce

🧘 Wellness

📋 Description

• How can we use data to build systems that enable access to significantly better health care? In this role as Sr. Staff Machine Learning Engineer, you will define and lead the architecture and development of large-scale, foundational machine learning systems that power care personalization, treatment intelligence, and automation at scale. • Own and drive architectural decisions for ML and LLM models for treatment recommendation, personalization, and intelligent care delivery • Work extensively with Python and ML libraries like PyTorch to build, optimize, and scale complex model pipelines • Write and review high-quality, production-ready code supporting high-impact, cross-team ML systems • Partner with engineers and product leadership to align ML development with strategic priorities • Architect a robust ML infrastructure to enable streamlined training, evaluation, deployment, and monitoring • Drive the adoption of new ML technologies and practices, contributing to long-term group-level technical maturity • Mentor senior and staff-level engineers across multiple squads, guiding system-level thinking and best practices • Champion a culture of scalable system design, engineering rigor, and customer-first innovation

🎯 Requirements

• 8+ years of experience in Machine Learning and/or Engineering, with a track record of technical leadership and ML system architecture • Expert-level proficiency in Python and advanced ML frameworks such as PyTorch, TensorFlow • Demonstrated success in architecting and maintaining ML platforms at scale across teams or business units • Deep experience in LLMs and NLP, including transformer models, summarization, and chatbot applications • Advanced understanding of ML infrastructure, including continuous training, real-time inference, and operational reliability • Experience with ML infrastructure tools (e.g., Databricks, MLFlow, AWS SageMaker) • A Master’s degree or PhD in Computer Science, Machine Learning, or a related field (not strictly required) • Exceptional communication and cross-org leadership skills, with the ability to align diverse stakeholders around ML strategy

🏖️ Benefits

• Competitive salary & equity compensation for full-time roles • Unlimited PTO, company holidays, and quarterly mental health days • Comprehensive health benefits including medical, dental & vision, and parental leave • Employee Stock Purchase Program (ESPP) • 401k benefits with employer matching contribution • Offsite team retreats