Skip to content
← Reflection AI

Member of Technical Staff - Engineering Lead, Data Acquisition

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

Frontier labonsitelead
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead ingestion layer turning open web and licensed sources into training corpora.
  • Own web crawl, extraction pipelines and versioned data lakes at PB scale.
  • Shape model strengths and safety through what you crawl, extract and keep.

What they offer

  • Salary and equity with stock options for all contributors
  • Comprehensive medical, dental, vision and life insurance plus wellness allowance
  • Lunch and dinner provided in the office daily
  • 22 weeks paid parental leave for all new parents including adoptive journeys
  • Unlimited PTO in the US and 30 days in the UK plus off-sites and celebrations

Ideal candidate

Hands-on engineering leader who loves building web-scale data systems and growing strong teams. You stay close to the stack, sweat ingestion details, and care how data choices shape open frontier models.

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 with credibility to earn technical trust of a strong team
  • Deep expertise in web crawling, large-scale extraction pipelines, or data lakes and corpus delivery
  • Fluency with Ray, Beam, Spark, Airflow, Prefect, Parquet, JSONL, WARC and object stores
  • Ability to drive concurrent data campaigns with research, vendors and legal within licensing constraints
visa sponsorship
Visa sponsorship available, including long-term immigration support

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 ↗

Posted · Last seen