Staff Software Engineer, AI & Recommendations Platform

🕒 June 18

🇺🇸 United States – Remote

💵 $195k - $240k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

hims & hers

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

🏥 Healthcare

💼 Consulting

📣 Marketing

Healthcare • Consulting • Marketing

Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.

📋 Description

• 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

🎯 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.

🏖️ 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