TRM Labs
Senior Data Scientist, Knowledge Layer
$180K–$210K
North America +1 · Remote · Senior · Full-time · Posted Oct 27, 2026
- Location
- North America
United States - Experience
- 5+ years in data science, machine learning engineering, or applied ML.
About the job
Build and productionize machine learning systems for knowledge extraction, entity resolution, and graph-based analysis, integrating them into TRM’s intelligence products.
What you'll do
- Design, evaluate, deploy, and iterate on ML models for knowledge extraction, graph learning, entity resolution, and relationship discovery.
- Integrate models into production services and APIs with backend and graph engineers.
- Contribute to knowledge graphs and ontologies, using exploratory analysis to guide modeling and system design.
What they ask 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 NER, text classification, or embedding-based approaches.
Nice to have
- Experience or strong interest in knowledge graphs, graph data, or graph-based ML.
- Solid software engineering fundamentals, including building and maintaining APIs or services.
Pay
USD $180,000 - $210,000 base salary
Tools
Python, NLP, Named Entity Recognition (NER), knowledge graphs, graph-based ML, APIs
AI focus
Develop applied ML for knowledge extraction, graph-based learning and inference, entity resolution, and relationship discovery. AI fluency is also expected and assessed during interviews.
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