Senior Data Scientist, Graph ML

We’re looking for a Full Stack Data Scientist 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.

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, We 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., By 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.

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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.

Do you have experience in Python?, * 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, * Priorities and targets to change quickly as we experiment and iterate
• Work that often requires operating with a high degree of ambiguity
• A high level of personal ownership and accountability
• Close collaboration across teams and functions
• Frequent, high-touch communication
• Creative problem solving and out-of-the-box thinking
• A pace that rewards urgency, adaptability, and outcomes

This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.

We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.

At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM’s platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure., TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days., 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., 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., TRM 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.