Staff Software Engineer, AI/ML
Maven Clinic · New York, NY; Remote, US (Hub cities) · US
Posted 60+ days ago
Software Engineering
Remote/Hybrid — check advert
Not yet analysed
Demand90
Career growth90
Healthcare fit30
Remote potential80
5-year outlook
Strong growth potential with competitive compensation typical for senior AI/ML roles in health tech, likely in the top percentile for engineering salaries.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians without deep software engineering experience should not apply, as this role requires advanced ML engineering skills. However, clinicians with a strong technical background (e.g., MD-PhD in CS or data science) could leverage their clinical knowledge to excel in this role.
Who should apply
Clinicians with advanced degrees in computer science, data science, or biomedical informatics, and significant experience in ML engineering and AI application development.
CV angle
Highlight any clinical domain expertise combined with technical skills, such as experience with healthcare data, understanding of clinical workflows, and any AI/ML projects or research. Emphasize ability to translate clinical needs into technical solutions.
Skills to highlight
- Python
- Machine Learning
- RAG
- LangChain
- OpenAI API
- Cloud Platforms
- Data Engineering
- Healthcare Data
Role summary
A senior engineering role at a virtual clinic to design and deploy AI-powered features for women's and family health, including personalization, care routing, and decision support.
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