Remote Staff Software Engineer (AI/ML)

Description:

• Onos Health is on a mission to ensure every healthcare dollar is spent on delivering high-quality care, addressing the 30% of U.S. healthcare spending that is wasted.
• The company is building the largest AI-driven healthcare data platform to help payers make faster and more accurate decisions.
• The role is for an experienced AI/ML engineer who will develop models for assessing appropriate care levels for patients.
• The position is hybrid, based in San Francisco, requiring in-office work 2-3 times a week.
• Responsibilities include designing, developing, and deploying ML models, developing LLM/NLU systems, building scalable data pipelines, establishing AI best practices, and collaborating with backend engineers.

Requirements:

• Candidates must have 5+ years of experience in building and deploying machine learning systems in production.
• Significant experience with data pipelines and proficiency in Python and related data science/ML libraries is required.
• Experience in developing LLM-based systems and integrating them with user-facing features is necessary.
• A deep understanding of the limitations of LLMs and best practices for reliable outputs is essential.
• Candidates should be customer-obsessed and motivated to impact the healthcare space.
• A collaborative team player focused on delivering measurable results is preferred.

Benefits:

• The position offers a flexible hybrid work arrangement with 2-3 days per week in the San Francisco office and a remote-first culture.
• Employees enjoy an unlimited vacation policy and paid parental leave.
• Medical, dental, and vision insurance are provided, along with pre-tax commuter benefits and a 401(k) plan.
• Significant equity is offered as an early employee, along with direct mentorship from experienced founders.
• There is a ground-floor opportunity to help build a team and culture, regular team events and offsites, and company-provided equipment and home office setup.