Senior Director of Machine Learning, Hims & Hers
$330-360k
+ Equity
Multi-specialty telehealth platform
Posted today
Multi-specialty telehealth platform
1001+ employees
Posted today
$330-360k
+ Equity
1001+ employees
Company mission
To help the world feel great through the power of better health.
Role
Who you are
- 14+ years of experience in machine learning and software engineering, including 8+ years leading ML teams and experience managing managers or senior tech leads
- A track record of shipping ML-powered products to production at scale — not just prototypes or research — and owning them operationally over time
- Depth in understanding modern LLM application development: RAG, prompt engineering, fine-tuning and adaptation, evaluation, agent and tool-calling architectures, and the practical limits of each
- Real experience training and deploying deep learning models (recommendation, ranking, classification, or sequence models) where model quality directly affects user or business outcomes
- Strong software architecture judgment — you can reason about service boundaries, data flow, failure modes, and cost as fluently as you can about model architecture
- Experience balancing model quality against latency, cost, and operational complexity, and making those tradeoffs legible to non-technical partners
- Comfort operating with ambiguity: taking a vague, high-value problem and turning it into a shipped system with measurable impact
- Excellent communication skills, with the ability to influence peers, executives, and clinical stakeholders
- Bonus: experience in healthcare, digital health, or another regulated domain or with safety-critical ML systems
- Bonus: experience with clinical decision support, clinical NLP, or ML systems where a human expert is the end user
What the job involves
- Lead and grow ML engineers, applied scientists, and ML production engineers building AI services end to end — from problem framing through production operation
- Own the strategy for how we build on top of frontier LLMs: prompt and context design, retrieval, tool and function calling, agentic workflows, structured output reliability, fallback and degradation behavior, latency and cost management
- Drive the design of the harnesses and glue around LLM calls — orchestration, validation, guardrails, deterministic scaffolding — so probabilistic components produce dependable, auditable outputs inside product and clinical workflows
- Direct development of in-house deep learning and classical ML models where a custom model outperforms a general-purpose one, including clinical and recommendation use cases such as medication and treatment-plan recommendations surfaced to providers
- Set the bar for how AI services are productionized: SLOs for accuracy, latency and cost, graceful failure, rollout strategy, and clear ownership of production behavior
- Make build-versus-fine-tune-versus-prompt decisions deliberately, and revisit them as model capabilities and pricing shift
- Partner with Clinical and Medical Affairs to ensure clinically-facing models are developed with appropriate oversight, validation, and human-in-the-loop design; ensure providers stay in control of clinical decisions
- Partner closely with the ML infrastructure and evaluation team members to define evaluation criteria, feedback loops, and annotation needs for every service your team ships — and to hold your team accountable to the resulting metrics
- Work with Product, Data Science, Engineering, Security, Legal, and Compliance to translate ambiguous business and clinical problems into scoped, high-leverage ML work
- Establish engineering and scientific standards across the team: experiment design, model documentation, reproducibility, code quality, and responsible AI practices
- Build the team's hiring, leveling, and mentorship practices; develop senior individual contributors and managers
- Act as a senior technical voice in the AI organization, shaping multi-year roadmap and investment decisions and representing AI strategy to executive leadership
Our take
Hims & Hers is a direct-to-consumer brand made for men and women, offering products for skin care, birth control, erectile dysfunction, hair loss and more. The company aims to create an open and honest culture of care that is accessible for everyone, no matter who you are or where you live.
Hims & Hers approach healthcare differently through a telemedicine approach combined with a comprehensive wholesale and branding strategy. This allows customers to get diagnosed and treated at a lower cost and with greater convenience whilst the company simultaneously increases customer brand's presence across the US.
The company is increasingly focused on becoming a modern healthcare brand, and has a huge addressable market to go after. The recent launch of an app has helped it grow significantly too. Further, its focusing investment into platform infrastructure and the development of partnerships with physical stores including retail giant Walmart, as well as continuing to launch new products such as its range of volumizing shampoos. Altogether, these moves put the brand in a good position for long-term growth as it looks to scale and evolve even further.
Steph
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2019
$100m
LATE VC
Jul 2018
$50m
SERIES B
Total funding: $197m
Company benefits
- Full healthcare: High-coverage medical, dental & vision coverage for individuals and families
- Generous PTO: Take the time you need, when you need it - including generous parental leave
- Retirement planning: Take advantage of our 401(k) plan including contribution matching
- Work from anywhere: We are a remote-first company, so you can work from anywhere you like in the uS
- Robust compensation: We offer competitive salary bands and stock options
- Employee discount: Employees can take advantage of product discounts
- Utility stipend: A extra $75 each month to cover extra cell phone, internet, or data usage
- Spending accounts: Options for additional HSA and FSA plans to help toward healthcare costs
Company HQ
Marina District, San Francisco, CA
Leadership
Andrew Dudum
(Founder & CEO)Previously co-founder of Atomic, Homebound, Terminal and Bungalow and Investor & Advisor at Stable Auto, TalklQ, and Mira Technologies.
Jack Abraham
(Co-Founder & Investor)Founder and Managing Partner of Atomic. Co-Founder and Investor at Replicant, Raydiant, Bungalow, Homebound, Terminal and Zenreach.
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