Staff Software Engineer, AI/ML

TL;DR

Staff Software Engineer (AI/ML): Designing, building, and deploying end-to-end AI-powered solutions using AI models and modern orchestration techniques with an accent on turning rich healthcare data into actionable insights and intelligent workflows. Focus on experimentation, fine-tuning, training from scratch when needed, and deployment in production environments.

Location: Hybrid work model based primarily from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week  (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities.

Salary: $220,000 - $300,000 per year. You will also be entitled to receive stock options and benefits.

Company

Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us.

What you will do

• Design, build, and deploy end-to-end AI-powered solutions using AI models and modern orchestration techniques.
• Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows.
• Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, and deployment in production environments.
• Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, and summarization.
• Drive architecture discussions and technical decision-making across AI/ML systems.
• Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity and experimentation.

Requirements

• A strong track record in building AI-powered applications or experience as a data scientist working across the data science lifecycle.
• 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.
• Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.).
• Familiarity with cloud-native systems and how to operationalize AI solutions within them.
• Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows.

Culture & 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.