AI Scientist

TRM Labs

. Train machine learning models on blockchain data, including foundation models, from research through production .

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in training machine learning models on blockchain data and building AI agents, with a strong foundation in Python, SQL, and distributed data systems. Capable of managing multiple priorities while delivering high-quality, production-ready ML solutions and insights.

Highest-signal resume keywords

Machine Learning FoundationsPython ProgrammingDistributed Data SystemsProduction ML Code ShippingTechnical Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningModelingEvaluationExperimentationPythonSQLAI-Assisted CodingDistributed Data SystemsProduction Code ShippingLLMs

Soft Skills

Async CommunicationTechnical CommunicationIndependent Work

Tools & Technologies

SparkBigQueryAirflowLoomSlackNotion

Industry Keywords

BlockchainCryptoFraudMoney LaunderingFinancial Crime

Tech Stack

Tools & technologies

AirflowBigQueryPythonSparkSQL

About the role

Key responsibilities & impact

Train machine learning models on blockchain data, including foundation models, from research through production
Build AI agents and fine-tune LLMs where useful to generate intelligence for TRM products
Develop new intelligence using patterns across Network, On-chain, and Protocol intelligence layers
Ship production-quality ML models, agents, and data pipelines with rigorous evaluation and scalable architecture
Pursue ambitious AI research initiatives that improve intelligence capabilities and drive measurable outcomes
Work with category pods whose expert-built heuristics provide high-confidence labels for models
Deliver high-stakes customer projects and attribution insights rapidly
Build MVP algorithms within 1–2 sprints and iterate using customer feedback
Manage multiple priorities across categories and stakeholders while maintaining quality and speed

Requirements

What you’ll need

Quantitative background in Computer Science, Statistics, Engineering, Mathematics, Physics, or equivalent field
Advanced degree or equivalent research experience is a plus
Strong machine learning foundations in modeling, evaluation, and experimentation
5+ years of hands-on machine learning experience
Strong Python, SQL, and AI-assisted coding skills, including Cursor and Claude Code
Experience with distributed data systems such as Spark, BigQuery, and Airflow
Experience shipping production ML code
Strong async communication using Loom, Slack, and Notion
Strong technical communication in English
Ability to 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 is a bonus

Benefits

Comp & perks

Fully remote and globally distributed work
Remote-work environment with at least 4-hour overlap with PST business hours
Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements
Opportunity to work on ambitious, high-impact projects
Professional growth and contribution to a mission-driven company