Senior AI/ML Software Engineer
- Compensation: $120k – $200k
- You’ll join a small, high-impact team, collaborating closely with engineers across data, AI, and backend/frontend systems—united by a shared mission to empower clinicians through better software.
- You will also work directly with clinical subject matter experts to deliver technology that streamlines healthcare workflows and unlocks new capabilities for users.
- Team members located near the San Francisco Bay Area may choose to meet in person weekly, though this is a remote-first role. You must be able to work during Pacific Time core hours, and due to compliance requirements, we are unable to employ candidates located outside the United States.
- Build and improve clinical and health information extractors and summarization tools used in real-time by healthcare professionals.
- Scrape, collect, extract, transform, query, analyze, and mine structured and unstructured data to evaluate system performance, generate insights, and expand/refine a clinical knowledge graph.
- Build and enhance supporting data/AI/ML systems and automation pipelines.
- Write secure, production-grade code and help maintain confidentiality, integrity, and availability of information systems in compliance with HIPAA and SOC 2.
- Participate in a rotating on-call schedule to ensure platform reliability.
- 7+ years of experience in AI/ML software engineering.
- Proficiency in Python, SQL, Jupyter Notebooks/Streamlit, Bash, Linux, and Git workflows.
- Bonus points for familiarity with: Django, FastAPI, asyncio, jq, PostgreSQL, dbt, BigQuery, LLM prompt engineering, PyTorch, Pandas, web technologies, TypeScript, React, and Google Cloud Platform.
- Strong skills in data munging, wrangling, exploration, and analysis.
- A sharp eye for designing scalable data models and intuitive software APIs.
- Ability to craft efficient algorithms and data pipelines, and troubleshoot bottlenecks quickly.'
- Excellent communication, presentation, and documentation abilities.
- Up-to-date, practical knowledge of the state-of-the-art in AI/ML/NLP, including relevant tools and frameworks.
- Extra credit: Familiarity with healthcare or medical data and workflows.
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