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TRM Labs

Blockchain analytics for financial crime

AI Scientist

AI ResearchPosted on Nov 11
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • A quantitative background in Computer Science, Statistics, Engineering, Mathematics, or Physics is required; an advanced degree or equivalent research experience is a plus.
  • Strong machine learning foundations built through years of applied machine learning and/or research, including modeling, evaluation, and experimentation.
  • At least 5 years of hands-on machine learning experience.
  • Strong Python, SQL, and AI-assisted coding tool skills, including Cursor and Claude Code.
  • Experience with distributed data systems such as Spark, BigQuery, and Airflow, and with shipping production machine learning code.
  • Strong async communication using tools such as Loom, Slack, and Notion; strong technical communication in English; and ability to own work independently in a remote environment.
  • Ability to use AI to accelerate repeatable workflows, structure and solve problems, improve output quality, and increase speed and leverage.
  • Ability to work with a high degree of ownership and accountability in an ambiguous, fast-moving environment, adapt as priorities change, and collaborate across teams and functions.
  • Must have at least 4 hours of overlap with PST business hours.

Responsibilities

  • Train machine learning models on blockchain data, including foundation models, and take them from research to production.
  • Build AI agents and fine-tune large language models where useful so product intelligence is generated by models and agents rather than only hand-built heuristics.
  • Find new ways to generate net-new intelligence by using patterns across Network, On-chain, and Protocol intelligence layers.
  • Ship production-quality machine learning models, agents, and data pipelines with rigorous evaluation and scalable architecture.
  • Take on ambitious, high-impact projects that expand intelligence capabilities and drive measurable outcomes, including tracing, seizing, or preventing illicit funds.
  • Deliver high-stakes customer projects, turning around attribution insights in days rather than weeks.
  • Build complex algorithms with tight timeframes, deliver minimum viable products within 1–2 sprints, and iterate based on customer feedback.
  • Execute across multiple priorities, categories, and stakeholders while maintaining quality and speed.
  • Partner with category pods whose expert-built heuristics provide high-confidence labels for models to learn from.

Desired Qualifications

  • Experience with large language models, AI agents, or fine-tuning.
  • Domain curiosity or prior work in blockchain, crypto, fraud, money laundering, or financial crime.

About the Company

TRM Labs

Blockchain analytics for financial crime

TRM Labs provides blockchain intelligence tools for financial institutions, crypto businesses, and government agencies to detect and investigate crypto-related financial crime and fraud. It analyzes blockchain activity using data engineering, data science, and threat intelligence to surface risk signals, enable investigations, and support compliance workflows. Its products combine on-chain and off-chain data, risk scoring, and case management through subscription services and customized solutions. Compared to others, TRM Labs serves a diverse client base (banks, exchanges, regulators) and emphasizes end-to-end investigative capabilities and tailored risk insights rather than generic analytics. The company’s goal is to improve the security and integrity of the global financial system by reducing illicit activity in the crypto space.

Company size
201-500
Company stage
Series C
Total funding
$220M
Headquarters
San Francisco, CA
Founded
2018

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