AI Scientist Data Science

TRM Labs; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Fully remote

Global team

Job summary

TRM Labs seeks an AI Scientist to build models and autonomous AI agents powering our blockchain intelligence platform. You’ll train foundation models, fine-tune agents, and drive end-to-end solutions from research to production in a fully remote, globally distributed team.

You'll collaborate with experts across data science, engineering, and finance to deliver high-impact attribution capabilities and scalable ML pipelines. Strong Python/SQL and ML fundamentals required.

Qualifications

• Quantitative background in CS, Math, or related fields with research exposure.
• Strong foundation in machine learning, research or applied ML.
• Experience with distributed data systems and production ML code.
• Excellent written and verbal English communication; independent work in remote settings.

Responsibilities

• Train ML models on blockchain data and take them from research to production.
• Build AI agents and fine-tune LLMs to power TRM's products.
• Generate new intelligence by leveraging cross-layer patterns (Network / On-chain / Protocol).
• Ship production-quality code and data pipelines with scalable architecture.
• Own ambitious, high-impact bets delivering measurable outcomes.

Skills

Python

SQL

Machine learning

Problem solving

Distributed data systems

English communication

AI coding tools

LLMs / AI agents

Blockchain domain knowledge

Education

Advanced degree in CS / Math / Statistics

Tools

Apache Spark

BigQuery

Airflow

Cursor

Claude Code

Job description

Build a Safer World.

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.

TRM Labs provides AI-powered intelligence solutions, including our AI investigations platform Ardence, that help public and private sector agencies investigate and disrupt crime and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily.

As an AI Scientist on our new AI Research team, you will build the models and agents behind the intelligence that powers TRM's products. Part of that is training foundation models on blockchain data, one of our most differentiated data layers, and part is building autonomous AI agents that generate intelligence at a scale hand-built heuristics cannot reach. You'll work on Intel Cortex and other ambitious, cross-cutting ideas, with a broad view across intelligence rather than a single risk category. This is pioneering work that does not exist elsewhere in our industry, and it directly drives customer outcomes, from seizing illicit funds to disrupting criminal networks.

The impact you'll have here:

• Train ML models on blockchain data, including foundation models, and take them from research to production.

• Build AI agents (and fine-tune LLMs where it helps) so the intelligence underneath TRM's products is generated by models and agents, not only hand-built heuristics.

• Find new ways to generate net new intelligence, using patterns across all intelligence layers (Network / On-chain / Protocol) that competitors can't replicate.

• Ship production-quality code: ML models, agents and data pipelines, with rigorous evaluation and scalable architecture.

• Take on ambitious, high-impact bets that raise the ceiling of what our intelligence can do, and drive measurable outcomes: billions in illicit funds traced, seized, or prevented.

What we’re looking for:

• Quantitative background (Computer Science, Statistics, Engineering, Mathematics, Physics). Advanced degree or equivalent research experience is a plus.

• Strong machine learning foundations, built over years of applied ML and/or research (modeling, evaluation, experimentation). You don't need to have trained a foundation model or built agents before, but you need the fundamentals to do it.

• Strong problem-solving mindset: gets to the root cause, leverages creativity, and thrives in ambiguity with a hypothesis-driven, iterative approach.

• 5+ years of hands-on machine learning experience, with strong Python, SQL, and AI-assisted coding tools (Cursor, Claude Code).

• Experience with distributed data systems (Spark, BigQuery, Airflow) and shipping production ML code.

• Strong async communication (Loom, Slack, Notion), strong technical communication in English, and ability to own work independently in a remote environment.

• Bonus: experience with LLMs, AI agents or fine-tuning; domain curiosity or prior work in blockchain, crypto, fraud, money laundering or financial crime.

About the Team:

• AI Research is a new team focused on ambitious, cross-cutting ideas in attribution and intelligence.

• Fully remote and globally distributed. Most overlap occurs 7am-12pm PST for meetings and collaboration.

• All team members must have at least 4-hour overlap with PST business hours.

• You’ll work in partnership with the category pods, whose expert-built heuristics provide the high-confidence labels our models learn from.

Learn about TRM Speed in this position:

• Rapid Customer Impact. Deliver last-minute, high-stakes projects for key customers - turning around attribution insights in days, not weeks.

• MVP to Production. Build complex algorithms with tight timeframes (1-2 sprints for MVP) and iterate based on real customer feedback.

• Parallel Execution. Juggle multiple priorities across categories and stakeholders while maintaining quality and speed.

Interviewing with TRM

Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview.

• Recruiter Intro: Qualifications, motivations, and alignment with the role.

• Hiring Manager: Deep dive into your relevant experience, skills, and impact.

• First Round: 1-2 interviews focused on the skills most critical to the role.

• Final Round: Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM.

• References: Former colleagues who can provide insight into your work and impact.

• Offer: Congrats! Your recruiter will present the offer and compensation details.

• Welcome to TRM: We're excited to build a safer world with you!

Your recruiter will share your specific interview plan and preparation guidance along the way.

AI Fluency at TRM

AI fluency is a baseline expectation at TRM.

We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.

At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:

• Accelerate repeatable workflows

• Structure and solve problems

• Improve output quality

• Increase speed and leverage

You will be evaluated on applied AI fluency during the interview process.

Life at TRM

We are building a safer world. That promise shows up in how we work every day.

TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.

Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.

At TRM, you should expect: