TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all.
We’re looking for a Full Stack Data Scientist / Machine Learning Engineer to join our Knowledge Layer team, a group focused on extracting, structuring, and analyzing knowledge from large-scale, unstructured data. This team sits at the intersection of knowledge graphs, entity resolution, graph extraction, and graph analytics, and plays a critical role in powering TRM’s core intelligence products.
While the team has strong backend and graph engineering expertise, we are looking for someone to be the machine learning and data science voice in the room — bringing practical ML expertise, especially in knowledge extraction and graph-based ML, to help accelerate and scale our capabilities. This is an ideal role for someone who enjoys operating end-to-end: from model selection and experimentation, to productionizing ML systems and APIs.
This role is based in San Francisco, CA.
The impact you will have:
- Design, build, and productionize machine learning models focused on:
- Knowledge extraction from unstructured data (e.g., NER, entity linking)
- Graph-based learning and inference
- Entity resolution and relationship discovery
- Evaluate and leverage existing ML models and frameworks to solve real-world problems efficiently
- Partner closely with backend and graph engineers to integrate ML models into production services and APIs
- Contribute to the design and evolution of knowledge graphs and ontologies
- Perform exploratory data analysis (EDA) to inform modeling decisions and system design
- Own ML components end-to-end, including experimentation, evaluation, deployment, and iteration
- Help shape best practices for applied ML within the Knowledge Layer team
What we’re looking for:
- 5+ years of experience in data science, machine learning engineering, or applied ML
- Strong programming experience in Python
- Hands-on experience building, training, or deploying machine learning models in production
- Familiarity with NLP or information extraction techniques, such as Named Entity Recognition (NER), text classification, or embedding-based approaches
- Experience or strong interest in knowledge graphs, graph data, or graph-based ML
- Solid software engineering fundamentals, including building and maintaining APIs or services
- Ability to translate ambiguous problem spaces into practical ML solutions
- Strong communication skills and comfort collaborating with engineers across disciplines
We are building a safer world. That promise shows up in how we work every day.
TRM runs fast. Really fast. We’re a high‑velocity, high‑ownership team that expects clarity, follow‑through, and impact. People who thrive here are energized by hard problems, experimentation, and direct feedback. If something takes months elsewhere, it often ships here in days.
That pace isn’t for everyone. If you are optimizing primarily for consistent work-life balance, use the interview process to pressure-test fit. We want teammates who thrive here, not just survive here.
AI Fluency at TRMAI fluency is a baseline expectation at TRM.
We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.
At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:
- Accelerate repeatable workflows
- Structure and solve problems
- Improve output quality
- Increase speed and leverage
You will be evaluated on applied AI fluency during the interview process.
Leadership PrinciplesWe hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.
- Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
- Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.
- Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.
Learn more: Interviewing at TRM: How We Hire and What Success Looks Like
The impact you will haveThis work has real stakes. Depending on your role at TRM, your week might look like:
- Driving critical investigations that can’t wait for typical business hours.
- Shipping products in days when others would schedule quarters.
- Partnering with teams across time zones to deliver insights while the story is still unfolding.
- Building new solutions from first principles when the playbook doesn’t yet exist.
- Protecting victims and customers by tracing illicit activity and disrupting criminal networks.
At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.
TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.
Recruitment agenciesTRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.
Privacy Policy and Additional InformationBy submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy.
Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law.
To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.
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