# Member of Technical Staff, LLM Evaluation Infra at Inception Labs

- Company: Inception Labs
- What the company does: We are leveraging diffusion technology to develop a new generation of LLMs. Our dLLMs are much faster and more efficient than traditional autoregressive LLMs. Backed by AI Grant and Amplify.
- Company website: https://www.inceptionlabs.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Mateo, United States
- Work setup: On-site
- Pay: $200K to $350K base salary per year (USD)
- Posted: 2026-03-10
- Apply by: 2026-10-12
- Apply: https://jobs.gem.com/inception/am9icG9zdDpZ-UzWsyEeC6ZVEZ8l0t4s
- Page: https://www.1752.vc/careers/jobs/inception-labs-member-of-technical-staff-llm-evaluation-infra/

## About the role

We seek experienced engineers and scientists to develop the evaluation infrastructure and systems that drive frontier LLM performance. You'll design the frameworks that tell us whether our models are improving and ensure they perform reliably at scale in production.

## What they're looking for

- Build scalable, automated evaluation pipelines that integrate into model training and deployment workflows
- Design, develop, and maintain robust evaluation frameworks and benchmarks for measuring LLM performance across diverse tasks and domains
- Conduct rigorous statistical analysis of model outputs to identify failure modes, biases, and performance gaps
- Partner with product and customer-facing teams to translate real-world use cases into meaningful evaluation criteria
- Define and implement quantitative metrics that capture model quality, safety, reliability, and regression detection
- BS/MS/PhD in Computer Science, Machine Learning, Statistics, or a related field (or equivalent experience)