AI/ML Engineer at Onos Health developing models to optimize healthcare administration. Collaborating in a hybrid work environment based in San Francisco while contributing to impactful AI projects.
Responsibilities
Design, develop and deploy sophisticated ML models to analyze healthcare data and detect anomalies, classify patients according to level-of-care guidelines, and make accurate recommendations
Develop LLM/NLU systems to process and extract meaningful information from clinical notes and medical documents
Build data pipelines that scale efficiently while maintaining strict data privacy and security standards
Establish machine learning & AI best practices, evaluation frameworks, and model governance for future team growth
Collaborate with backend engineers to integrate AI/ML capabilities seamlessly into the Onos platform
Requirements
5+ years experience building and deploying machine learning systems in production
Significant experience working with data pipelines and Python and related data science/ML libraries
Experience with developing LLM-based systems and integrating them with user-facing features
Deep understanding of the limitations of using LLMs and the best practices for using them for reliable, consistent, and accurate outputs
Customer obsessed and motivated to make an impact in the healthcare space
A collaborative team player with a focus on delivering measurable results
Benefits
Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District), remote-first culture
Unlimited vacation policy
Paid parental leave
Medical, dental, and vision insurance
Pre-tax commuter benefits
401(k)
Significant equity as an early employee
Direct mentorship from experienced founders
Ground-floor opportunity to help build a team and culture
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