Staff Software Engineer, AI/ML

Maven Clinic; United States; Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

16 weeks paid parental leave

Annual professional development stipend

401K matching

Access to wellness partnerships

Job summary

A leading healthcare technology company is seeking a Staff ML/AI Engineer to design and develop AI-driven solutions that enhance member care journeys. The ideal candidate will have a strong background in building AI applications, experience with health-related datasets, and an ability to collaborate across teams. This full-time role offers a hybrid work model and a range of benefits including 16 weeks of paid parental leave and professional development opportunities.

Qualifications

• Minimum of 8 years in backend development or ML/AI platforms.
• Experience building scalable, reliable systems.
• Understanding of health-related datasets.

Responsibilities

• Design and deploy AI solutions with modern techniques.
• Work with teams to improve healthcare data workflows.
• Develop ML pipelines and ensure scalability.

Skills

AI-powered application building

Data science lifecycle expertise

Integration with foundation models

Python fluency

Cloud-native systems knowledge

ML deployment workflows

Collaboration and communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

OpenAI

Google Vertex AI

Go

Java

Job description

Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award‑winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end‑to‑end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and Fortune Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com.

Company Awards

• Fortune Change the World (2024)
• CNBC Disruptor 50 List (2022, 2023, 2024)
• Fortune Best Workplaces for Millennials (2024)
• Fortune Best Workplaces in Health Care (2024)
• TIME 100 Most Influential Companies (2023)
• Fast Company Most Innovative Companies (2020, 2023)
• Built In Best Places to Work (2023)
• Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024)
• Great Place to Work certified (2020, 2021, 2022, 2023, 2024)
• Fast Company Best Workplaces for Innovators (2022)
• Built In LGBTQIA+ Advocacy Award (2022)

As a Staff ML/AI Engineer at Maven, you will:

• 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.

We're looking for you to bring:

• 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 That Work For You

• 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

Maven embraces a flexible hybrid work model. Our teams primarily operate 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. This policy aims to balance remote work flexibility with the benefits of face‑to‑face interaction.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Hospitals and Health Care

EEO and Equal Opportunity Statement

Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g. [e-mail]). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: [e-mail]. For general and additional inquiries, please contact us at [e-mail].