Role in brief
TRM is seeking an AI Scientist to develop AI models for crime investigation solutions. This role focuses on building and deploying machine learning models and agents. Candidates with a strong ML background and experience in distributed systems should apply.
About the role
As an AI Scientist at TRM, you will be responsible for training machine learning models on blockchain data and creating AI agents that enhance the intelligence capabilities of TRM's solutions. Your work will directly contribute to the mission of helping agencies investigate and disrupt crime effectively.
You will join a mission-driven, fully remote team that values independent work and strong communication. Success in this role involves shipping production-quality code and taking on ambitious projects that yield significant outcomes, such as tracing illicit funds.
Skills that matter here
- Python: This role requires strong Python skills for developing and deploying machine learning models.
- SQL: SQL is essential for managing and querying data in the context of machine learning.
- Machine Learning: You will apply advanced machine learning techniques to create models that enhance TRM's intelligence solutions.
- AI-assisted coding tools: Experience with AI-assisted coding tools will aid in developing efficient and effective code.
- Distributed data systems: Knowledge of distributed data systems like Spark and BigQuery is needed for handling large datasets.
- Airflow: You will use Airflow for orchestrating complex data pipelines in the production environment.
Who this role suits
- A person with a quantitative background, ideally in Computer Science, Statistics, or Engineering.
- Someone with a strong foundation in machine learning, backed by several years of hands-on experience.
- An independent worker who excels in asynchronous communication and can manage multiple priorities.
- A candidate with curiosity about blockchain and financial crime will thrive in this mission-driven environment.
From the employer
- 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.
- 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).
- 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.
- Fully remote and globally distributed team.
- Most overlap occurs 7am–12pm PST for meetings and collaboration.
- All team members must have at least 4-hour overlap with PST business hours.
- Rapid Customer Impact: Deliver last-minute, high-stakes projects for key customers.
- 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.
Questions about this role
Is this position remote?
Yes, this role is fully remote with a globally distributed team.
What skills are required for this role?
Candidates should have strong skills in Python, SQL, machine learning, and experience with distributed data systems.
How do I apply for this position?
You can apply through the TRM website.
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