Staff Software Engineer, Hims & Hers

• This role is ideal for an engineer who is passionate about building scalable platforms and production systems while leveraging machine learning and AI technologies to solve complex healthcare problems
• 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 in healthcare, health tech, or other regulated environments
• 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

Desirable

• How can we use vast amounts of proprietary and internet-scale healthcare data to build systems that enable access to significantly better healthcare?
• As a Staff Software Engineer on the AI team, you will play a key technical leadership role in evolving AI & Recommendations platform
• You will help build the systems, infrastructure, and services that power treatment recommendations, provider decision support and experimentation across multiple healthcare verticals
• You will work across the stack—from APIs and platform infrastructure to recommendation systems and LLM-powered applications—to enable intelligent, personalized care at scale
• 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