# Member of Technical Staff, Data Infrastructure 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/am9icG9zdDqMVcHJkoPN_wP0bDAIcQYF
- Page: https://www.1752.vc/careers/jobs/inception-labs-member-of-technical-staff-data-infrastructure/

## About the role

We seek experienced engineers to architect and scale the core infrastructure behind distributed training pipelines and petabyte-scale data catalogs. You'll work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets.

## What they're looking for

- Design, build, and operate scalable, fault-tolerant infrastructure for LLM research: distributed compute, data orchestration, and storage across modalities
- Develop high-throughput systems for data ingestion, processing, and transformation — including training data catalogs, deduplication, quality checks, and search
- Build systems for web crawling, data ingestion, and real-time data processing to support model training operations
- Develop tools and frameworks for efficient data storage, retrieval, and versioning across distributed systems
- Ensure data collection adheres to privacy regulations
- BS/MS/PhD in Computer Science, Machine Learning, or a related field (or equivalent experience)