Senior Director, Machine Learning

🕒 September 29

🇺🇸 United States – Remote

💵 $330k - $360k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 1%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 47 days.
• Jobs at this company usually fill in 43 days.

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hims & hers

WebsiteLinkedInAll Job Openings

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

• Lead and grow ML engineers, applied scientists, and ML production engineers building AI services end to end • Own strategy for building on frontier LLMs, including prompt and context design, retrieval, tool and function calling, agentic workflows, structured output reliability, fallback behavior, latency, and cost management • Design orchestration, validation, guardrails, and deterministic scaffolding around LLM calls • Direct development of in-house deep learning and classical ML models for clinical and recommendation use cases • Set production standards for AI services, including accuracy, latency, cost, graceful failure, rollout strategy, and ownership • Make build-versus-fine-tune-versus-prompt decisions • Partner with Clinical and Medical Affairs on oversight, validation, and human-in-the-loop design • Partner with ML infrastructure and evaluation teams on evaluation criteria, feedback loops, annotation needs, and metrics • Collaborate with Product, Data Science, Engineering, Security, Legal, and Compliance • Establish standards for experiment design, model documentation, reproducibility, code quality, and responsible AI • Build hiring, leveling, and mentorship practices; develop senior individual contributors and managers • Shape multi-year AI roadmap and investment decisions and represent AI strategy to executive leadership

🎯 Requirements

• 14+ years of experience in machine learning and software engineering • 8+ years leading ML teams • Experience managing managers or senior tech leads • Track record of shipping ML-powered products to production at scale and owning them operationally • Depth in modern LLM application development, including RAG, prompt engineering, fine-tuning and adaptation, evaluation, agent and tool-calling architectures, and practical limitations • Experience training and deploying deep learning models, including recommendation, ranking, classification, or sequence models • Strong software architecture judgment regarding service boundaries, data flow, failure modes, and cost • Experience balancing model quality against latency, cost, and operational complexity • Ability to turn ambiguous, high-value problems into shipped systems with measurable impact • Excellent communication skills with peers, executives, and clinical stakeholders • Bonus: experience in healthcare, digital health, regulated domains, or safety-critical ML systems • Bonus: experience with clinical decision support, clinical NLP, or ML systems used by human experts • Legally authorized 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 grant may be included in the Total Rewards package • Flexible/remote work approach • Reasonable accommodations for qualified individuals with disabilities and disabled veterans • Diverse, ethical, wellness-focused, and belonging-oriented workplace

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