TRM Labs · 1 day ago
Senior Data Scientist, Model Engineering
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$170K/yr - $195K/yr
4+ years expTRM Labs is a blockchain intelligence company focused on building a safer financial system. The Senior Data Scientist will develop and deploy sophisticated machine learning and LLM models to enhance TRM's AI Engineering platform, aiding in the detection and prevention of cryptocurrency fraud and financial crime.
Big DataBlockchainComplianceCryptocurrency
Responsibilities
Design and deploy sophisticated ML/LLM models that accomplish impactful customer needs within TRM’s AI Engineering platform
Develop robust catalogs of evaluation sets and observability tools for ML/LLM models to ensure reliable performance in production environments
Monitor for data drift, concept drift, and emerging failure modes in production AI systems serving critical law enforcement use cases
Leverage embeddings, retrieval, and ranking methods to improve agent tool selection and enhance the product experience for analysts
Build models and analyses that optimize orchestration of multi-agent workflows, enabling complex investigative tasks through natural language interactions
Stay up-to-date on state-of-the-art model and system design, easily implementing modern architecture patterns to serve external users
Translate vague infrastructure and product requirements into measurable, data-driven metrics and evaluation frameworks
Collaborate with engineers and research scientists to design agentic systems that analyze complex blockchain data structures, cryptographic protocols, and transactional patterns
Create evaluation frameworks that measure the effectiveness of AI agents in helping investigators navigate blockchain data and identify suspicious activities
Establish best practices for LLM evaluation, prompt engineering, and AI system monitoring
Qualification
Required
4+ years of experience working in a data science role, with demonstrated expertise in machine learning and data science
Strong fluency with Python and SQL, with proven experience developing code in team environments (git, notebooks, testing)
Strong background in data science, experimental design, and hypothesis testing
Experience evaluating and building LLMs, embeddings, knowledge graphs, and information retrieval systems
Industry experience with ML/AI methods (NLP, RLHF, embeddings) to analyze and improve agent behaviors
Industry experience with ML/AI Ops and production system monitoring
Ability to analyze large, multi-modal datasets (text, logs, graphs, APIs) for actionable insights
Strong ownership mentality and comfort with uncertainty - ability to translate ambiguous intelligence questions into measurable evaluation frameworks
History of taking strong ownership over systems and delivering value at high velocity
Curiosity and drive to get to the root cause of problems, with evidence of creativity and self-directed work in ambiguous spaces
Preferred
Building and delivering Agentic/LLM systems with active users would raise the bar (industry experience preferred, but hobby or open source contributions valued, given the emerging nature of the technology)
Benefits
TRM’s equity plan
Company
TRM Labs
TRM Labs is a software company that offers blockchain, transaction monitoring, and analytics to help financial institutions and governments.
201-500 employees
H1B Sponsorship
TRM Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (4)
2023 (3)
2022 (3)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$149.9MKey Investors
Thoma BravoJP Morgan ChaseTiger Global Management
2022-11-09Series B· $70M
2022-04-04Series B
2022-02-28Series Unknown
Leadership Team
Esteban Castano
Co-founder & CEO
Rahul Raina
Co-Founder
Recent News
Business Wire
2026-01-09
2026-01-09
Company data provided by crunchbase