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:
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 modem technologies. The base salary range for this role is $220,000 - $300,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. 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 Boston, DC, Chicago, Seattle, and San Francisco, we encourage in-person collaboration by requiring team members to attend monthly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You
