Member of Technical Staff - Engineering Lead, Data Ingestion
Reflection AI · San Francisco, CA · London · New York, NY
CHECKED 20H AGO
Frontier labonsitelead
At a glance
Highlights
- Lead ingestion layer turning open web and licensed corpora into training datasets.
- Tie crawling and extraction decisions to measurable downstream model impact.
- Own web crawl, pipelines, and data lakes powering frontier open models.
What they offer
- Top-tier compensation with salary and equity
- Stock options for all contributors
- Comprehensive medical, dental, vision, life and wellness allowance
- Lunch and dinner provided in the office daily
- 22 weeks paid parental leave for all new parents
- Unlimited paid time off in the U.S. and 30 days in the U.K.
- Regular off-sites, happy hours, and team celebrations
Ideal candidate
Hands-on data or infra leader who loves mentoring engineers and owning web-scale systems. You care about open AI and connecting data decisions to real model improvements.
Requirements
- Experience building, mentoring, and growing data or infrastructure engineering teams while staying technically hands-on
- Deep experience building web-scale data acquisition or ingestion systems at multi-TB to PB scale
- Strong coding ability and credibility to earn technical trust of a strong team
- Deep expertise in web crawling and acquisition, large-scale extraction and ingestion pipelines, or data lakes and corpus storage
- Fluency with distributed compute, orchestration, Parquet, JSONL, WARC, and object-store data-lake architectures
- Familiarity with how LLMs are trained and evaluated and intuition for useful training data
- Ability to guide strategy across concurrent data campaigns and partner with research, vendors, and legal
- visa sponsorship
- We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
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