Note: The job is a remote job and is open to candidates in USA. Maven Clinic is the world's largest virtual clinic for women and families, aiming to revolutionize healthcare. As a Staff ML/AI Engineer, you will design and deploy AI-powered solutions, collaborate with cross-functional teams to improve healthcare data usage, and mentor engineers while driving technical discussions in AI/ML systems.
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
Skills
- 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
- Equity
- Employer-covered health, dental, and insurance plan options
- 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 Overview
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