• 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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