Senior ML Engineer, Knowledge Graphs & NLP

TRM Labs; United States; Remote; USD 180,000 - 210,000; Full time

Benefits offered by this job

Equity plan

Job summary

TRM Labs is hiring a Full Stack Data Scientist / Machine Learning Engineer for the Knowledge Layer team. You will extract, structure, and analyze knowledge from large-scale unstructured data, working at the intersection of knowledge graphs, entity resolution, graph extraction, and graph analytics to power our core intelligence products.

This role requires owning ML components end-to-end—from model selection and experimentation to productionizing ML systems and APIs—collaborating closely with

Qualifications

• 5+ years of experience in data science, ML engineering, or applied ML.
• Strong programming experience in Python.
• Hands-on experience deploying ML models in production.

Responsibilities

• Design, build, and productionize ML models focused on knowledge extraction, graph-based learning, and entity resolution.
• Evaluate existing ML models and frameworks for real-world problems.
• Partner with backend and graph engineers to integrate ML models into production services and APIs.
• Contribute to knowledge graphs and ontologies; perform exploratory data analysis (EDA).
• Own ML components end-to-end from experimentation to deployment and iteration.
• Help shape best practices for applied ML within the Knowledge Layer team.

Skills

Python

Production ML

NLP/NER

Knowledge graphs

APIs

Collaboration

Job description

TRM Labs is hiring a Full Stack Data Scientist / Machine Learning Engineer for the Knowledge Layer team. You will extract, structure, and analyze knowledge from large-scale unstructured data, working at the intersection of knowledge graphs, entity resolution, graph extraction, and graph analytics to power our core intelligence products.

This role requires owning ML components end-to-end—from model selection and experimentation to productionizing ML systems and APIs—collaborating closely with