Applied AI Research Engineer

About the role

As an Applied Research Engineer, you’ll build practical AI research assets that support Frontier lab initiatives and customer engagements. This is an implementation-focused role for someone who enjoys turning research concepts into working systems. You’ll work with a high degree of autonomy, experimenting with new approaches and developing solutions that can be reused across customer opportunities.

What you'll do

• Build reinforcement learning and agent environments for real customer and Frontier lab use cases, including task specifications, scoring, and evaluation
• Develop benchmarks and evaluation harnesses to measure model and data quality across areas such as accuracy, robustness, safety, latency, and cost
• Build LLM pipelines and agentic systems that support research, evaluation, and customer trials
• Run fine-tuning, adapter, and other model experiments to evaluate how data and methods influence model behavior
• Deploy local or self-hosted models for evaluation, inference, and automation workflows

What you need

• Research
• LLMs
• Any graduate