Design, build, and maintain foundational frameworks and tools to empower expert teams to experiment fast and turn ideas into full-fledged and production-ready systems.
Collaborate with expert teams to validate uses cases and build robust solutions, bringing cross-team perspective and aiming for modular and reusable components.
Identify and mitigate high-level code design flaws and development workflow inefficiencies that cause friction, hinder productivity, and create silos across the organization.
Advocate for good practices and maintain high code quality through code reviews, documentation, and training.
Excellent software engineering skills (e.g., in Python, Go, or Rust).
Extensive experience designing, building, and maintaining modular and reusable systems.
Experience collaborating with engineers and researchers of any fields, understanding complex requirements, and providing clear and simple solutions.
Ability to implement large-impact changes across the organization with minimal disruption.
Experience building internal tooling to accelerate AI research and development workflows (e.g., debugging, evaluation, experiment tracking and versioning, CI automation, etc.).
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