[All remote jobs](https://jobicy.com/jobs.md)[![hims & hers logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2023/11/e7b9b920-221.jpeg)](https://jobicy.com/company/hims-hers.md)[hims & hers](https://jobicy.com/company/hims-hers.md) # Staff Software Engineer, AI & Recommendations Platform Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/hims-hers.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 230k–250k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished27 Sep 2026Apply before27 Oct 2026Listing views33Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. This Staff Software Engineer role provides technical leadership for Hims & Hers' AI and Recommendations Platform. The position focuses on scalable backend services, APIs, distributed systems, experimentation infrastructure, and data pipelines supporting personalized healthcare recommendations. The engineer will partner closely with machine learning, product, data science, and clinical stakeholders to productionize ML and LLM-enabled decisioning. It requires 8+ years of production engineering experience, strong Python expertise, and demonstrated ability to lead complex cross-team architecture initiatives. Healthcare or regulated-environment experience and recommendation-system expertise are advantageous. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a staff-level platform role requiring ownership of large, high-reliability distributed systems while integrating ML and LLM capabilities into clinical and customer workflows. Success depends on balancing long-term platform strategy with delivery across several technical and nontechnical stakeholder groups in a regulated healthcare context. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$240,000US market range$210k–$280k0$308k AI insightThe disclosed annual base compensation range is $230,000 to $250,000 USD, with a midpoint of $240,000. This is competitive for a US-remote Staff Software Engineer specializing in AI platforms, distributed systems, and recommendation infrastructure; the estimated broader US market range is $210,000 to $280,000 annually, excluding equity and benefits. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Backend Engineering](https://jobicy.com/jobs?search_keywords=Backend%20Engineering.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[API Design](https://jobicy.com/jobs?search_keywords=API%20Design.md)[Cloud-Native Architecture](https://jobicy.com/jobs?search_keywords=Cloud-Native%20Architecture.md)[Machine Learning Productionization](https://jobicy.com/jobs?search_keywords=Machine%20Learning%20Productionization.md)[Recommendation Systems](https://jobicy.com/jobs?search_keywords=Recommendation%20Systems.md)[LLM Applications](https://jobicy.com/jobs?search_keywords=LLM%20Applications.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md) Sample interview questionsHow would you design a platform for serving personalized treatment recommendations across multiple healthcare verticals?I would define a versioned decisioning API that separates data ingestion, feature generation, model or rules evaluation, and response delivery. The platform would support low-latency online serving, offline training and evaluation, audit trails, model versioning, experimentation controls, and clinician-facing explanations where appropriate. I would also establish reliability objectives, privacy controls, and fallback behavior for unavailable or low-confidence model outputs. Describe how you have productionized an ML model or recommendation system. I have partnered with ML teams to package model artifacts, define feature contracts, deploy versioned inference services, and implement monitoring for latency, availability, data drift, and prediction-quality proxies. I prioritize reproducible pipelines, clear rollback paths, and controlled experiments so that model improvements can be evaluated safely before broad rollout. How do you balance immediate product needs with longer-term platform investments? I start by identifying the smallest reusable abstraction that unblocks the current product need without hard-coding one team's workflow. I make technical tradeoffs explicit, sequence foundational work around high-leverage delivery milestones, and use adoption metrics and reliability data to demonstrate the value of platform investments. This approach keeps teams shipping while steadily reducing duplicated implementation and operational risk. What reliability and observability practices would you apply to a healthcare decisioning service? I would define service-level objectives for availability, latency, correctness, and freshness, then instrument structured logs, metrics, distributed traces, and actionable alerts. For healthcare use cases, I would also capture model and rules versions, input provenance, decision outcomes, and access events while protecting sensitive data. Automated testing, canary releases, feature flags, and documented incident procedures would support safe operation and rapid recovery. How do you lead architecture decisions across multiple engineering teams? I build alignment by first understanding each team's constraints, then presenting a clear problem statement, alternatives, tradeoffs, and an incremental migration plan. I use design reviews and written decision records to invite feedback, establish ownership boundaries, and ensure decisions remain understandable over time. I stay hands-on during implementation and use mentoring to help teams adopt the resulting patterns successfully. Opportunity details ## About this role. Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit [hims.com/about](http://hims.com/about) and [hims.com/how-it-works](http://hims.com/how-it-works) . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit [www.hims.com/careers-professionals](http://www.hims.com/careers-professionals). ### About the Role: 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. 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. 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. ### You Will: * 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 ### You Have: * 8+ 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 ### Nice to Have: * 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 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. 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 [accommodations@forhims.com](mailto:accommodations@forhims.com) 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). 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