Software Engineer, Pretraining Data

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Software Engineer, Pretraining Data in USA new

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Full time
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USA
11/11/2026
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Palo Alto, CA

Responsibilities

Build platforms that convert raw web, code, multimodal, and acquired data into datasets for frontier pretraining.
Own scalable pipelines, orchestration, tooling, observability, reproducibility, lineage, freshness, and pipeline-health systems.
Develop high-throughput data-quality pipelines and models for classifying, ranking, filtering, cleaning, and identifying data.
Design scaling-ladder experiments covering data mixtures, repeatability, and quality depth, and connect results to training loss and evaluations.
Build and scale web-crawling systems for URL discovery, scheduling, fetching, parsing, antibot handling, extraction, recovery, and dataset delivery.
Partner with initial training, crawling, data quality, acquisition, and data platform teams to improve model capability and data coverage.

Requirements

At least 3 years of software engineering experience.
Experience building distributed systems and/or large-scale data infrastructure.
Ability to architect and ship end-to-end systems, debug complex infrastructure independently, and work alongside AI agents.
Strong intuition for large-scale distributed systems.
Interest in how pretraining data affects model quality and willingness to own systems feeding frontier training runs.
Must be able to work onsite at the Palo Alto office.

Benefits

Annual base salary of $160,000-$250,000 USD, with actual level and salary determined based on knowledge, skills, education, and experience.
Equity, comprehensive medical, vision, and dental coverage, and access to a 401(k) retirement plan.
Short- and long-term disability insurance, life insurance, discounts, and other perks.
Onsite role based at the Palo Alto office.

Salary: $160k - $250k/yr

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