Maven Clinic · 10 hours ago
Staff Software Engineer, AI/ML
New York, NY
Full-time
Hybrid
Lead/Staff
$220K/yr - $300K/yr
8+ years expMaven Clinic is the world's largest virtual clinic for women and families, aiming to improve healthcare through innovative digital programs. The Staff ML/AI Engineer will design and deploy AI-powered solutions, collaborate with cross-functional teams, and mentor others while driving architectural decisions in AI/ML systems.
FamilyHealth CaremHealthWomen's
Responsibilities
Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences
Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers
Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance
Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization
Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models
Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency
Stay on the pulse of the evolving LLM and applied AI landscape, continuously exploring how to bring cutting-edge advancements into Maven’s platform
Qualification
Required
A strong track record in either: Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact
Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar
A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions
Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)
Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them
Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows
A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes
Bachelor's or Master's degree in Computer Science or related field, or equivalent experience
Minimum of 8 years of experience in backend development, platform architecture and ML/AI platform or products, with a proven track record of building highly scalable, performant, and reliable systems with modern technologies
Benefits
Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics.
Whole-self care through wellness partnerships
Hybrid work, in office meals, and work together days
16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+)
Annual professional development stipend and access to a personal career coach through Maven for Mavens
401K matching for US-based employees, with immediate vesting
Company
Maven Clinic
Maven is a digital health platform that works with health plans and employers to offer virtual services for women’s and family health.
201-500 employees
H1B Sponsorship
Maven Clinic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (5)
2023 (8)
2022 (2)
Funding
Current Stage
Late StageTotal Funding
$417.1MKey Investors
StepStone GroupGeneral CatalystIcon Ventures
2024-10-08Series F· $125M
2022-11-14Series E· $90M
2021-08-17Series D· $110M
Leadership Team
Kate Ryder
Founder & CEO
Julia Marley-Rappoport
VP, Strategic Finance
Recent News
2025-12-02
2025-10-28
Company data provided by crunchbase