Staff Software Engineer, AI & Recommendations Platform
About The Position
Hims & Hers is seeking a Staff Software Engineer for their AI team to play a key technical leadership role in evolving the AI & Recommendations platform. This role involves building systems, infrastructure, and services that power treatment recommendations, provider decision support, and experimentation across multiple healthcare verticals. The ideal candidate is passionate about building scalable production systems, leveraging machine learning and AI technologies to solve complex healthcare problems, and working across the full stack from APIs and platform infrastructure to recommendation systems and LLM-powered applications to enable intelligent, personalized care at scale.
Requirements
- 5+ years of professional software engineering experience building and operating production systems at scale.
- Strong expertise in backend engineering, distributed systems, APIs, and cloud-native architectures.
- Demonstrated success leading large technical initiatives and influencing architecture across teams.
- Experience building data-intensive applications and services that leverage machine learning or recommendation systems.
- Strong proficiency in Python and modern software development practices.
- Experience integrating ML models, recommendation engines, or LLM-powered applications into production systems.
- Familiarity with ML lifecycle concepts including training, evaluation, deployment, monitoring, and experimentation.
- Ability to balance short-term product delivery with long-term platform scalability and maintainability.
- Excellent collaboration and communication skills, with the ability to work effectively across engineering, product, data science, and clinical stakeholders.
Nice To Haves
- Experience building recommendation systems, ranking systems, personalization platforms, or decision-support systems.
- Experience in healthcare, health tech, or other regulated environments.
- Advanced degree in Computer Science, Machine Learning, or a related field.
- Experience with cloud platforms and modern infrastructure tooling (AWS, Kubernetes, Databricks, MLflow, Airflow, etc.) is a plus.
Responsibilities
- Lead the design and development of scalable backend systems, APIs, and platform services that power treatment recommendations and personalization.
- Architect and build the infrastructure that enables experimentation, recommendation engines, and AI-powered healthcare experiences.
- Partner with Machine Learning engineers to productionize models and integrate intelligent decisioning into customer and provider workflows.
- Design and implement highly reliable, observable, and maintainable distributed systems.
- Drive platform investments including self-service tooling, testing infrastructure, unified decisioning frameworks, and data pipelines.
- Collaborate with vertical engineering teams to establish reusable patterns, frameworks, and best practices that enable independent innovation.
- Evaluate and integrate emerging AI and LLM technologies where they can improve provider efficiency, patient outcomes, or operational scale.
- Lead complex technical initiatives that span multiple teams and systems.
- Mentor engineers and provide technical leadership through design reviews, architecture discussions, and hands-on implementation.
- Influence the long-term technical direction of the MedMatch platform and broader AI ecosystem.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
