Senior Research Engineer - Safety Tooling and Data

Key Responsibilities

• Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation
• Create cohesive data infrastructure that supports continuous parallel operation with model experimentation
• Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation
• Collaborate with the ML modeling team to align data capabilities with experimental needs
• Maintain opinionated, well-documented solutions that become team standards
• Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps

Qualifications

• Extremely strong software engineering skills
• Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance
• Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX)
• Demonstrated ability to own complex technical projects from conception to deployment
• Opinionated approach to technical architecture with ability to make principled decisions
• Understanding of ML data requirements and the intersection of data engineering with modeling workflows