- 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.
We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.
Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement https://www.hims.com/global-candidate-privacy-statement.