Senior Data Scientist, TRM Labs
NLP & Graph Analytics
Blockchain investigations & risk management
Be an early applicant
Blockchain investigations & risk management
201-500 employees
Be an early applicant
201-500 employees
Company mission
To build a safer financial system for billions of people.
Role
Who you are
- 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
- If you’re excited by TRM’s mission but don’t check every box, apply anyway
What the job involves
- 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
- 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
Our take
The crypto space has become more mainstream but it is also intensely volatile and poorly regulated, with a high degree of anonymity afforded to its users. As such it has become a major source of financial fraud with $20 billion in crypto stolen in 2022 alone. TRM Lab exists to return trust to the blockchain, helping banks, government agencies and crypto companies detect and combat fraud with its blockchain intelligence solutions.
As the risk of blockchain fraud is only increasing, with the proceeds often being used for organized crime, there are a number of companies working in this space. TRM stands out with the breadth of its crypto asset coverage and the strength of its cross-chain analytics. It has partnered with the FBI and Europol to aid its investigations, and is also used by major crypto companies MoonPay and Binance.
The company has grown its revenue by almost 500% year on year since its founding in 2018, and has raised a significant amount of capital. With the funding its secured, its further developing its product and hiring additional talent. And as businesses and government agencies increasingly come to grips with fraud in the crypto space, TRM is well poised to continue its rapid growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Feb 2026
$70m
SERIES C
Nov 2022
$70m
SERIES B
Total funding: $220.1m
Company benefits
- DIstributed, not distant
- Competitive compensation package
- Paid time off: 25 days of vacation and competitive holistic paid time off plans
- Parental leave & family planning: 18 weeks of paid parental leave (if employed for at least 180 days unless the home state or country required less tenure). For select eligible regions, we also offer fertility treatments via the Carrot platform
- Health coverage: Premium coverage for medical, dental, vision and life insurance
- Company retreats
- Career growth
Company HQ
SoMa, San Francisco, CA
Leadership
Esteban Castaño
(Co-Founder & CEO)Former Business Analyst at McKinsey & Company. Founded the Digital team at Generation, a high growth youth employment program, before launching TRM in 2018.
Rahul Raina
(Co-Founder & CTO)Former Senior Business Analyst at McKinsey & Company. Former Software Engineer at Amazon Web Services and Opendoor.
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