AI Engineer III
R1 RCM
AWSAzurePyTorchTensorflow
Senior AI Engineer
R1 RCM
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $140,000 - $294,000 per year
Job Level
Senior
Tech Stack
AWSAzurePyTorchTensorflow
About the role
- Advance AI Capabilities: Contribute to early-stage development of initial-phase AI systems for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data.
- Outcome-Driven Engineering: Deliver outcomes through software and models, ensuring projects are aligned with business objectives. Ask questions, disambiguate complexity, document your thinking, and deliver results.
- AI System Design: Work backwards from extremely complex business problems to collaborate on the design of AI components and abstractions that solve intricate problems in a maintainable and logical way. Support the scalability and operational excellence of AI systems in production environments.
- Bring Rigor to Science Decisions: Be accountable for scientific decisions to deliver outcomes. Ensure proper evaluation datasets, correct metrics to connect outcomes to models, appropriate model architecture, and effective data flywheels for iterative improvement.
- Mentorship and Best Practices: Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture.
- Team Growth: Contribute to hiring efforts and help identify top AI talent. Participate in interviews and provide thoughtful feedback to strengthen the team.
Requirements
- Proven experience building and operating production AI systems such as Search, Ranking, or generative AI products at a significant scale
- Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects
- Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them.
- Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value.
- Experience developing models using tools like PyTorch, TensorFlow, experimenting with models from Hugging Face and deploying to production in with tools like Databricks, AWS Bedrock, Azure ML
- While it is not required, it is another advantage if you also have: A relevant advanced degree ( master's or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field.
Benefits
- This job is eligible to participate in our annual bonus plan.
- offering a competitive benefits package.
- Travel accommodations will be provided as needed.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI system designgenerative AImodel architecturedata flywheelsprototypingfull lifecycle AI developmentdeep product knowledgebusiness value connectionevaluation datasetsmetrics
Soft skills
outcome-driven engineeringmentorshipcollaborative cultureteam growthcommunicationproblem-solvingaccountabilitydisambiguationthoughtful feedbackinclusive team culture
Certifications
master's degreePhDMachine LearningArtificial IntelligenceStatistics
