Senior Research Engineer - Safety Tooling and Data
Senior Research Engineer building data synthesis, analysis, and management tooling for AI safety model training and evaluation. Requires strong software engineering, statistics, and ML framework expertise.
230k – 380k
Remote5+ YOEML Engineering
About the role
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
Skills
PythonPyTorchTensorFlowJAXData PipelinesStatistical AnalysisMl Data EngineeringData ValidationExperiment EvaluationSoftware Architecture
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