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About the Role
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 use 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. Advocate for good practices and maintain high code quality.
Responsibilities
- Design, build, and maintain foundational frameworks and tools.
- Empower expert teams to experiment fast and turn ideas into production-ready systems.
- Collaborate with expert teams to validate use cases and build robust solutions.
- Bring cross-team perspective and aim for modular and reusable components.
- Identify and mitigate high-level code design flaws.
- Identify and mitigate development workflow inefficiencies.
- Advocate for good practices.
- Maintain high code quality through code reviews, documentation, and training.
Requirements
- 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.
- Experience 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.).
Skills
- Python
- Go
- Rust
- Software Engineering
- System Design
- System Maintenance
- Collaboration
- Problem Solving
- Code Quality
- Code Reviews
- Documentation
- Training
- Internal Tooling
- AI Research
- Development Workflow Acceleration
- Debugging
- Evaluation
- Experiment Tracking
- Versioning
- CI Automation