Member of Technical Staff - Data Ingestion Engineer
Reflection AI · San Francisco, CA · London · New York, NY
CHECKED 20H AGO
Frontier labonsite
At a glance
Highlights
- Build ingestion systems turning open web into corpora for frontier models.
- Run experiments linking crawling strategies to model performance gains.
- Develop specialized crawlers for high-priority data sources at PB scale.
What they offer
- Top-tier salary and equity with stock options for all employees
- Comprehensive medical, dental, vision and life insurance plus wellness allowance
- Lunch and dinner provided daily in the office
- 22 weeks paid parental leave and unlimited PTO in US, 30 days in UK
- Regular off-sites, happy hours and team celebrations
Ideal candidate
A curious distributed-systems builder excited by how training data shapes model capabilities. You thrive in hybrid research-engineering roles and iterate fast with researchers based on measurable impact.
Requirements
- Experience building web crawling, data ingestion, or large-scale data acquisition systems using Ray, Beam, Spark, or similar
- Familiarity with how LLMs are trained and evaluated and intuition for useful training data
- Comfortable working with very large datasets (multi-TB to PB scale) building observable, testable systems
- Comfortable designing experiments and using data to guide system improvements
- Excellent communication skills and ability to explain tradeoffs clearly
- Curious about how training data influences model capabilities and iterate on downstream impact
- Able to collaborate across researchers, infra, operations and external partners
- visa sponsorship
- Visa sponsorship and long-term immigration support available
Lab profile
About Reflection AI
Research lab making intelligence open and accessible for everyone to use, customize, and build on.
What they build
- Open foundation models
- Aligned general agents
- Enterprise AI deployments
Known for
- Frontier model pre-training
- Post-training and alignment
- Distributed training infrastructure
- Secure cloud platform foundations