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← Reflection AI

Member of Technical Staff - Engineering Lead, Data Ingestion

Reflection AI · San Francisco, CA · London · New York, NY

CHECKED 20H AGO

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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
More about Reflection AI →
Apply on the lab’s site ↗