# Research Engineer, Web Crawling at ThinkingMachines

> Onsite · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3AThinkingMachines%3Aa5559c53-7085-45ff-8a0f-5e47b5e822bc (read 2026-11-11).

## Facts (observed)

- Company: [ThinkingMachines](https://alderhq.app/companies/thinkingmachines)
- Location text: San Francisco; New York
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco; New York")
- Posted: 2026-09-24 (47 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/ThinkingMachines/a5559c53-7085-45ff-8a0f-5e47b5e822bc
- Skills listed (inferred): Python, Go, Rust, Distributed systems

## Pay and sponsorship

- Posted pay: $350k–$475k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 544): p25 $200k, median $249k, p75 $300k

## Description (the employer's text)

### About Thinking Machines

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

### About the Role

We're hiring a Software Engineer to build and own our web-crawling systems, from distributed collection at internet scale through filtering, deduplication, and deciding what data we keep.

The ideal candidate has built and scaled a web crawler or large-scale data-acquisition systems. In this role, you'll write and own production systems: the crawler itself, the infrastructure that runs it at scale, and the pipelines that turn raw crawls into usable pretraining data. You'll work closely with our pretraining and data teams to understand what's actually moving model quality, but this is fundamentally an engineering role, not a research one.

### What You'll Do

Design and scale the web crawler and ingestion infrastructure that sources Inkling's pretraining data

Build pipelines for large-scale extraction, deduplication, and data quality filtering

Build specialized crawlers for high-value or hard-to-reach data sources

Work with the pretraining team to understand how changes in crawled data affect model performance

Improve the reliability and efficiency of crawling and ingestion infrastructure at petabyte scale

Help set technical direction for this area as it grows, and bring other engineers up to speed on what you've learned

### Skills & Qualifications

### Minimum Qualifications

8+ years designing, building, and scaling web crawlers, scrapers, or large-scale distributed data-acquisition systems

A track record of owning crawler or data-acquisition infrastructure at internet scale

Strong software engineering skills in a language such as Python, Go, or Rust, with real experience in distributed systems

Working knowledge of the practical and legal considerations of large-scale web data collection (robots.txt, rate limiting, licensing)

### Preferred Qualifications

Experience applying machine learning to crawl selection, extraction, or data quality classification at internet scale

Experience setting technical direction for a crawling, data acquisition, or search infrastructure team, whether or not that was your formal title

Experience designing systems for petabyte-scale storage and processing

Track record of open-source contributions to crawling, scraping, or data infrastructure tools

Background at a search engine (crawling, indexing) or a frontier AI lab's data acquisition team

### Logistics

Location: This role is based in San Francisco, CA or New York, NY.

Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000-$475,000 USD.

Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3AThinkingMachines%3Aa5559c53-7085-45ff-8a0f-5e47b5e822bc and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.