Longitude Labs
Longitude Labs

Member of the Technical Staff

Full-time
Hybrid
New York, NY,San Francisco, CA
$250K - $350K

Base salary range of $250K–$350K depending on experience, plus competitive equity. The company is prepared to go higher for the right candidate with exceptional research credentials.

About this role

We are looking for a Member of the Technical Staff with 5+ years of combined academic and industry research experience to lead the research behind evaluations and datasets that will enable the next wave of AI model improvement. You'll be one of the first dedicated research hires, shaping how the company thinks about data quality, LLM evaluation, and benchmark design across critical domains like life sciences and finance.

What will you be doing?

  • Designing and owning benchmarks, evals, and dataset taxonomies that set the standard for data quality in AI
  • Conducting independent research and publishing papers to establish the company as a thought leader in AI benchmarks
  • Identifying where frontier models are failing and building datasets to address those gaps
  • Partnering with domain experts and deployment leads to define what high-quality training and evaluation data looks like across verticals
  • Driving the research agenda with autonomy — proposing new ideas, designing experiments, and dragging the team along with you

Key Requirements

  • PhD in machine learning, computer science, computer vision, or a quantitative science (strongly preferred)
  • Published research at top venues (e.g., ICML, NeurIPS) — ideally as a top author with cited work
  • Deep familiarity with LLMs, benchmark design, eval methodology, and data quality for model improvement
  • Based in New York or San Francisco and willing to work in-office 5 days/week (flexible to 4 days)
  • Natural curiosity about model behavior with the ability to identify where AI is deficient and propose data-driven solutions
in AI/ML research post-undergrad across academics and industry
Salary
$250K - $350K (Base salary range of $250K–$350K depending on experience, plus competitive equity. The company is prepared to go higher for the right candidate with exceptional research credentials.)
Equity
Competitive equity
Visa sponsorship details
Open to visa transfers (e.g. OPT, H1B transfers)
Additional visa sponsorship details
Visa sponsorship and transfers available. The company has sponsored visas multiple times.
Hybrid work policy
5 days in-office in New York, NY or San Francisco, CA (flexible to 4 days)
Full-time position
Location
New York, NY, San Francisco, CA
Tech stack
Python, PyTorch, LLMs, Evaluation Frameworks, Data Pipelines
About Longitude Labs

Longitude Labs is building next-generation data infrastructure for the world’s leading AI labs. The company was founded by industry veterans who were key leaders at a top frontier lab and an AI infrastructure decacorn. Longitude Labs’ mission is to provide AI labs with the necessary inputs to unlock capabilities in the areas that are most important for humanity. 


While still in stealth, Longitude Labs already works with top labs on some of the most important capability areas in AI. These include computer use, finance, multimodal generation and enterprise productivity. The company is now looking for its next set of leaders, who will help it expand into areas such as science, healthcare and other key domains.


The long-term vision is to become the trusted infrastructure partner for the next era of AI development: a company that helps frontier models move from answering questions to reliably performing high-value work across the economy.

Team size

30 employees

Founded

2025

Total funding

$30M

Company locations

San Francisco +1
About the team

The Artifact Collection team at Longitude Labs is a small, high-impact group building an entirely new business line from the ground up. Today, the team consists of Leo, who leads go-to-market efforts and manages lead generation, and one dedicated engineer working full-time on the project's technical infrastructure — including the anonymization and redaction engine that underpins every deal.

This isn't a team where you'll slot into an existing org chart. It's a founding unit with direct access to Longitude Labs' senior leadership and co-founders, who are closely involved in the vertical's strategy and growth. The team can also pull in resources from other parts of the company when deal volume spikes, but day to day, you'll be working in a tight, scrappy environment where every person's contribution is visible and consequential.


The artifact collection vertical is already generating revenue — closing deals in the $10–15K range with senior professionals across finance, consulting, and life sciences — and the plan is to expand into new domains like healthcare, legal, and scientific research. As the business line scales, this team is expected to grow, and early members will have a meaningful role in shaping its culture, processes, and direction.

Tech stack
Python, PyTorch, LLMs, Evaluation Frameworks, Data Pipelines
The product

Longitude Labs builds next-generation data infrastructure for the world's leading AI labs. The company sources, processes, and delivers high-value training data that doesn't exist on the open internet — expert-produced documents like investment memos, diligence reports, medical applications, and scientific write-ups that are critical for unlocking frontier AI capabilities.


The core product is an end-to-end data acquisition and processing pipeline. Longitude Labs works directly with professionals and institutions who hold proprietary artifacts — financial documents, legal materials, medical records, scientific papers — and runs them through a rigorous anonymization and redaction engine before they ever enter a dataset. This ensures that confidential material is handled with the highest standards of trust and security while still providing AI labs with the rich, domain-specific data they need to train models that can perform real-world, high-value work.


Today, Longitude Labs already partners with top AI labs on some of the most important capability areas in AI, including computer use, finance, multimodal generation, and enterprise productivity. The company is expanding into new verticals — science, healthcare, legal, and other key domains — with the long-term vision of becoming the trusted infrastructure partner for the next era of AI development: helping frontier models move from answering questions to reliably performing high-value work across the economy.