Build AI capabilities for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data
Take ownership of AI projects from requirements to production, working closely with stakeholders to deliver models and software that meet business objectives
Build reliable AI systems that perform well in production, ensuring proper monitoring and operational practices for deployed models
Use appropriate evaluation datasets, metrics, and model architectures to build effective AI solutions that connect to business outcomes
Partner with product managers, engineers, and other team members to integrate AI capabilities and contribute to team knowledge
Build systems that measure and improve AI performance
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 AI development, from ideating on which models to use through productionizing and maintaining them
Experience 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 with tools like Databricks, AWS Bedrock, Azure ML
Ability to participate in an in-person interview (travel arranged as needed)
US-based (position stated as US-based)
Benefits
Eligible to participate in our annual bonus plan
Travel accommodations for in-person interview will be provided as needed
Competitive benefits package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI systemsretrievalrankingcategorizationgenerative AImodel architecturesAI development lifecycledeep learningmodel evaluationperformance measurement