ReflectionAI

Member of Technical Staff - Data Ingestion Engineer

San Francisco · Staff+

H1B sponsorship availableDetected 33 days ago

Distributed SystemsSparkLLMsResearchCommunication

About the role

Data is playing an increasingly crucial role at the frontier of AI innovation.
Many of the most meaningful advances in recent years have come not from new architectures, but from better data.
You'll work directly with world-class researchers to close the loop between what we collect and how it impacts model performance.

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on.
We build open models that let anyone control their intelligence and help shape the future of AI.
Build and operate large-scale data ingestion systems for pre-training, including web crawling, extraction, and dataset delivery
Build ingestion pipelines that scale reliably across large data campaigns
Develop specialized crawlers for high-priority data sources
As a member of the Data Team, your mission is to build and operate the ingestion systems that turn the open web and other large-scale data sources into reliable, well-structured corpora for training frontier models.
You will own the machinery that acquires, extracts, normalizes, versions, and delivers data to our pre-training pipelines.
Able to collaborate tightly across functions: researchers, infra, operations, and external partners.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.

Familiarity with how LLMs are trained and evaluated, and an intuition for what makes data useful for training
You can explain system behavior.
Experience building web crawling, data ingestion, or large-scale data acquisition systems using Ray, Beam, Spark, or similar technologies.
Comfortable working with very large datasets (multi-TB to PB scale) and building systems that are observable, testable, and maintainable
Comfortable designing experiments and using data to guide system improvements

Excellent communication skills. You can explain system behavior. You consider and communicate tradeoffs clearly

Salary and equity structured to recognize and retain our talent globally.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.

Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.

We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.

This listing is sourced directly from ReflectionAI's careers page and normalized into a canonical job model.