hims-and-hers - Staff Software Engineer, AI & Recommendations Platform
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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 • 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 • OUR BENEFITS (THERE ARE MORE BUT HERE ARE SOME HIGHLIGHTS): • 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 • 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. • Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected] and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. • 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.
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
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