Research Software Engineer - Multiple Levels- AI Frontiers
Core
Designing and building data, evaluation, and training pipelines for agentic models to use computers, tools, and complete tasks collaboratively with other agents and humans.
Role type
Research Software Engineer (GenAI Infrastructure)
Builds
Data pipelines, evaluation pipelines, and training infrastructure for agentic models
Domain
Generative AI, Agentic Systems, Software Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, GenAI infrastructure, system architecture, experiment debugging, benchmark dataset creation, open-source development
Preferred skills
GitHub profile maintenance, code sample creation
Technologies
Python
Responsibilities
Create data, evaluation, and training pipelines for agentic models; architect and implement GenAI systems and infrastructure; evaluate AI models and systems including running and debugging experiments; collaborate with researchers, engineers, and product groups to realize research ideas in products.
Seniority
Mid-to-Senior level (2+ to 4+ years experience required)