[Remote] Staff Software Engineer, AI & Recommendations Platform
Note: The job is a remote job and is open to candidates in USA. Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. As a Staff Software Engineer on the AI team, you will lead the design and development of scalable backend systems and infrastructure that power treatment recommendations and personalized healthcare experiences.
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
Skills
- 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
- Experience with cloud platforms and modern infrastructure tooling (AWS, Kubernetes, Databricks, MLflow, Airflow, etc.) is a plus
- 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
- 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
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
Company Overview