3 hours ago
Responsibilities
- Train ML models and foundation models on blockchain data and take them from research to production.
- Build AI agents and fine-tune LLMs where useful to generate intelligence for TRM products.
- Develop methods to generate new intelligence across network, on-chain, and protocol data layers.
- Ship production-quality ML models, agents, and data pipelines with rigorous evaluation and scalable architecture.
- Pursue ambitious research and engineering bets while delivering measurable customer outcomes.
- Iterate rapidly from MVPs to production based on customer feedback and collaborate with category pods.
Requirements
- Quantitative background in Computer Science, Statistics, Engineering, Mathematics, Physics, or a related field.
- Strong machine learning foundations in modeling, evaluation, and experimentation developed through applied ML or research.
- At least 5 years of hands-on machine learning experience.
- Strong Python and SQL skills and experience using AI-assisted coding tools such as Cursor and Claude Code.
- Experience with distributed data systems including Spark, BigQuery, and Airflow, plus production ML development.
- Strong technical communication in English, async communication skills, and ability to work independently in a remote environment.
- Preferred experience includes LLMs, AI agents, fine-tuning, blockchain, crypto, fraud, money laundering, or financial crime.
- An advanced degree or equivalent research experience is a plus.
Benefits
- Fully remote work at a globally distributed company.
- At least four hours of overlap with PST business hours, with most collaboration occurring from 7am–12pm PST.
- Opportunity to work on a new AI Research team at the intersection of AI, national security, and financial crime.
- Direct customer impact through high-stakes projects, rapid MVP-to-production delivery, and intelligence used to trace or prevent illicit funds.
Tech Stack
Categories
AI ResearchML Engineering
About TRM Labs
TRM Labs builds AI-powered blockchain intelligence and investigation software for government agencies and financial institutions to detect, trace, and disrupt crypto‑related crime. Its platform supports AML, sanctions, fraud, and threat‑intelligence use cases, combining data analytics with tools for case building and transaction monitoring. Founded in 2018 and headquartered in San Francisco, the privately held company serves customers worldwide across public‑ and private‑sector markets.