Frontier AI Infrastructure Research Scientist

Greylock Partners; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Greylock Partners is seeking researchers for a frontier AI role that blends AI research with software engineering and real-world expertise. You’ll work across model evaluation, benchmark design, reasoning, data generation, applied AI systems, and research infrastructure.

Some weeks involve creating new evaluation methods, others translate research into production-ready systems with measurable impact. You’ll collaborate with founders and the early team across research, engineering, product, and

Qualifications

• Experience with large language models or modern AI systems
• Model evaluation, benchmarking, reasoning, or reinforcement learning
• Publishing research at top-tier conferences or equivalent impact
• Building production-quality research software in Python and modern ML frameworks
• Translating research ideas into practical systems with measurable impact
• Operating effectively in ambiguous, fast-moving startup environments

Responsibilities

• Designing novel evaluation frameworks for frontier AI models
• Developing benchmarks that measure increasingly sophisticated model capabilities
• Conducting original research on model improvement through data, evaluation, and applied AI systems
• Building research tooling and infrastructure that accelerates experimentation
• Translating complex real-world workflows into rigorous evaluation and model improvement programs
• Working closely with engineering and domain experts to rapidly move research into production
• Helping shape the technical direction of an early frontier AI infrastructure company

Skills

LLMs

Model evaluation

Benchmarking

Python

ML frameworks

Research translation

Tools

PyTorch

TensorFlow

Job description

Greylock Partners is seeking researchers for a frontier AI role that blends AI research with software engineering and real-world expertise. You’ll work across model evaluation, benchmark design, reasoning, data generation, applied AI systems, and research infrastructure.

Some weeks involve creating new evaluation methods, others translate research into production-ready systems with measurable impact. You’ll collaborate with founders and the early team across research, engineering, product, and