Trusted by public sector agencies and private sector institutions on the front lines of illicit activity, including criminal networks, sanctioned actors and state-backed threats. Backed by Bessemer and Y Combinator.
About the role
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. If you’re interested in joining TRM, we encourage you to apply directly. Found on 1752vc Careers, the job board for startup and VC roles.
What they'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
More about this role
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.
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...
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