Maven Clinic: Staff Software Engineer, AI/ML — New York, NY; Remote, US (Hub cities)

About Maven Clinic

Maven Clinic provides virtual women's and family healthcare. Its employer introduction describes programmes spanning fertility and family building, maternity and newborn care, parenting and paediatrics, and menopause and midlife. It serves members through employer and health-plan programmes as well as a consumer platform. The described care model brings virtual access together with support around different life stages, while care-coordination roles help members navigate services and turn clinical recommendations into practical next steps.

The position and its setting

Maven Clinic lists Staff Software Engineer, AI/ML in New York, NY; Remote, US (Hub cities), under reference 7674282002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Core Engineering
• Employer listing date: 8 October 2024

Responsibilities and work described

• 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
• Development: robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a focus on scalability, safety, and performance
• Collaboration: 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 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

Essential requirements and candidate background

• A 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: Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)
• Familiarity: cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them
• Experience: data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows
• A collaborative mindset, 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 track record of building highly scalable, performant, and reliable systems with modem technologies

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• The base salary range for this role is $220,000 - $300,000 per year
• 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
• Work arrangement: Remote
• Advertised location: New York, NY; Remote, US (Hub cities)

Benefits mentioned by the employer

• Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally
• We remain focused on providing a competitive benefits package for our employees
• On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to 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
• These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Software Engineer, AI/ML vacancy is not an offer for reference 7674282002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Maven Clinic

Applications follow the official employer page linked below.

Open the official Maven Clinic posting below and match the title and reference 7674282002.

Compare your qualifications and experience with the essential conditions for the New York, NY; Remote, US (Hub cities) position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• AI/ML
• LLMs
• AI
• GLP
• insurance
• investment
• training
• communication