资深软件工程师，AI与推荐平台
Staff Software Engineer, AI & Recommendations Platform
Hims & Hers 是领先的健康与 wellness 平台，致力于通过更好的健康来帮助世界感觉更棒。我们通过以客户为中心重新定义医疗保健，提供可负担、可及且个性化的医疗服务，从诊断到治疗再到配送。没有两个人是相同的，所以我们提供针对结果的个性化护理。通过将健康与 wellness 挑战正常化并创新其解决方案，我们让更好的健康成果更容易实现。
Hims & Hers 是一家上市公司，在纽约证券交易所上市，股票代码为“HIMS”。要了解更多关于品牌和产品信息，请访问 hims.com/about 和 hims.com/how-it-works。有关公司卓越福利、文化及其以人才为核心的灵活/远程工作方式的信息，请参见下方内容，并访问 www.hims.com/careers-professionals。
职位简介：
我们如何利用大量专有和互联网规模的医疗数据，构建系统以实现显著更好的医疗？
作为 AI 团队的高级软件工程师，你将在 AI 与推荐平台的演进中发挥关键的技术领导作用。你将帮助构建支撑治疗推荐、医生决策支持和跨多个医疗垂直领域的实验系统的系统、基础设施和服务。
这个职位适合一位热衷于构建可扩展平台和生产系统，并利用机器学习和 AI 技术解决复杂医疗问题的工程师。你将从 API 和平台基础设施到推荐系统和 LLM 驱动的应用程序，全面参与技术栈，以实现大规模的智能个性化护理。
你将：
- 主导可扩展后端系统、API 和平台服务的设计与开发，支撑治疗推荐和个性化功能
- 设计并构建支持实验、推荐引擎和 AI 驱动的医疗体验的基础设施
- 与机器学习工程师合作，将模型部署上线，并将智能决策集成到客户和医生的工作流程中
- 设计并实现高度可靠、可观测且易于维护的分布式系统
- 推动平台投资，包括自助工具、测试基础设施、统一决策框架和数据管道
- 与各垂直领域工程团队合作，建立可复用的解决方案
查看英文原文
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 and 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.
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 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.