Senior Research Engineer - Safety Tooling and Data
Core
Building robust data pipeline tooling and infrastructure for data synthesis, analysis, and management to support model training and evaluation in enterprise AI safety.
Role type
Senior Research Engineer (Safety Tooling)
Builds
Data pipelines, data infrastructure, and systematic analysis frameworks for model experimentation.
Domain
Enterprise AI, Model Safety, Data Engineering
Deliverable
production ML models
Required skills
Software engineering, statistical analysis, Python, ML frameworks (PyTorch, TensorFlow, JAX), data pipeline design, technical architecture ownership, data validation processes.
Preferred skills
ML modeling safety, trust, and reliability expertise.
Technologies
Python, PyTorch, TensorFlow, JAX
Responsibilities
Design and implement robust data pipeline tooling for data generation and annotation; Create cohesive data infrastructure supporting parallel model experimentation; Establish standardized processes for data validation and improvement; Collaborate with ML modeling teams to align data capabilities with experimental needs; Maintain well-documented, opinionated technical solutions; Develop systematic analysis frameworks to identify data sources and benchmark coverage gaps.
Seniority
Senior, hands-on IC