# Longitude Labs - Member of the Technical Staff at deCircle

> Onsite · United States · Staff · Other · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780694 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: New York, New York, United States; San Francisco, California, United States
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York, New York, United States; San Francisco, California, United States")
- Posted: 2026-10-12 (26 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/longitude-labs-member-of-the-technical-staff
- Skills listed (inferred): Python, PyTorch, LLMs

## Pay and sponsorship

- Posted pay: $250k–$350k per year (from the description)
- Market band for similar posted roles (New York, n 417): p25 $151k, median $185k, p75 $215k

## Description (the employer's text)

Longitude Labs: stealth data infrastructure for leading AI labs (30 people, $30M raised; founders from a top frontier lab and an AI-infra decacorn). One of the first dedicated research hires.

Comp: $250K-$350K base (can go higher for exceptional research credentials) + competitive equity. Location: In-office 5 days (flexible to 4), NYC or SF. Visa: Visa transfers and sponsorship available.

### Responsibilities

Design and own benchmarks, evals and dataset taxonomies setting the standard for AI data quality

Independent research and publishing to establish thought leadership in AI benchmarks

Identify where frontier models fail and build datasets to close gaps

Partner with domain experts and deployment leads (life sciences, finance) on what high-quality data looks like

Drive the research agenda with autonomy

Tech stack: Python, PyTorch, LLMs, Evaluation Frameworks, Data Pipelines

Source: https://www.paraform.com/share/longitude-labs/cmrdwtlj300000djmmm0hmpjy

### Requirements

PhD in ML/CS/CV or quantitative science (strongly preferred)

Top-venue publications (ICML, NeurIPS), ideally top author with cited work

Deep LLM, benchmark design, eval methodology and data quality expertise

NYC or SF, in-office 5 days (flex 4)

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780694 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.