GenAI Research Engineer

What you'll do

• Develop and enhance generative AI systems for health applications throughout the development lifecycle.
• Design and execute ML experiments to deliver measurable quality improvements in health products.
• Create and validate evaluation frameworks, including automated assessment tools and benchmarks, for rigorous testing.
• Analyze model behavior using statistical methods and identify failure modes through adversarial testing to drive improvements.
• Construct scalable pipelines for inference, training, and evaluation integrated with large-scale data workflows.
• Collaborate with cross-functional teams to ensure real-world applicability and impact of health features in production.

What we're looking for

• At least 10 years of industry experience in relevant fields.
• Proficiency in Python for developing clean, efficient code.
• Expertise in crafting and evaluating machine learning solutions for user applications.
• Experience applying scientific methods to drive ML innovation through experimentation.
• Technical knowledge in generative AI domains like large language models and natural language understanding.