TRM Labs Logo

TRM Labs

Full Stack Data Scientist

Posted Yesterday
Easy Apply
Remote
Hiring Remotely in USA
Senior level
Easy Apply
Remote
Hiring Remotely in USA
Senior level
As a Full Stack Data Scientist at TRM, you will design, build, and productionize machine learning models, focusing on knowledge extraction, entity resolution, and graph analytics within a high-impact team.
The summary above was generated by AI
Build to Protect Civilization

TRM is a blockchain intelligence company that’s on a mission to build a safer world for billions of people. We’re a lean, high-impact team tackling some of the world’s most critical challenges, ranging from human trafficking and financial fraud to terrorist financing. We are builders who power governments, financial institutions, and crypto companies when the clock is running and the consequences are real. This is why every TRMer is a bet on our future and has the power to change our trajectory.

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.

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

Life at TRM

We build to protect civilization. That promise shows up in how we work every day.

TRM runs fast. Really fast. We’re a high-velocity team that expects ownership, clarity, and follow-through. People who thrive here are inspired by hard problems, experimentation, direct feedback. If it takes months elsewhere, it often ships here in days. 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.

We coach directly, assume positive intent, and play for the front of the jersey.

Leadership Principles
  • Impact-Oriented Trailblazer: We put customers first, driving for speed, focus, and adaptability.
  • Master Craftsperson: We prioritize speed, high standards, and distributed ownership.
  • Inspiring Colleague: We value humility, candor, and a one-team mindset.

Want to learn more about how we interview at TRM Labs? Check out more about our leadership principles and hiring process here.

What You’ll Do Here

This work has teeth. At TRM, your week might include:

  • 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.
Join our Mission

We look for people who want their work to matter, who build with speed and rigor, and who take pride in protecting others through their craft. If you’re excited by TRM’s mission but don’t check every box, apply anyway. We hire for slope, judgment, and the will to learn fast.

Build to protect civilization. Let’s do it together.

Recruitment agencies

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.

Privacy Policy

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

Top Skills

APIs
Knowledge Graphs
Machine Learning
Nlp
Python

Similar Jobs

18 Days Ago
Easy Apply
Remote
United States
Easy Apply
170K-195K Annually
Senior level
170K-195K Annually
Senior level
Blockchain
As a Senior Data Scientist at TRM, you'll develop models and algorithms to combat blockchain fraud, collaborate with teams, and create interactive visualizations to aid law enforcement. You'll leverage your analytical skills to understand complex data structures and contribute to improving financial security.
Top Skills: PythonSQL
17 Days Ago
Remote
United States
160K-210K Annually
Mid level
160K-210K Annually
Mid level
Information Technology
The Data Scientist 2 will develop fraud detection models and advance products focusing on identity verification, requiring strong technical skills and research capabilities.
Top Skills: Aws Ec2Aws RdsAws RedshiftAws S3PostgresPython 3
17 Days Ago
Remote
United States
180K-230K Annually
Senior level
180K-230K Annually
Senior level
Information Technology
As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.
Top Skills: Aws Ec2Aws RdsAws RedshiftAws S3PostgresPython 3

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account