Senior ML Engineer: Knowledge Graphs & Production ML

TRM Labs; United States; Remote; USD 180.000 - 210.000; Vollzeit

Benefits dieser Stelle

Equity plan

Zusammenfassung

TRM Labs is seeking a Full Stack Data Scientist / Machine Learning Engineer to advance knowledge extraction from unstructured data and graph-based ML. You will own models end-to-end, from experimentation to production, collaborating with graph engineers to deploy APIs and services.

The role emphasizes practical ML in knowledge graphs, entity resolution, and graph analytics, with a strong emphasis on production readiness and cross-functional collaboration.

Qualifikationen

• 5+ years in data science, ML engineering, or applied ML.
• Strong Python programming.
• Hands-on experience deploying ML models in production.
• Familiarity with NLP or information extraction techniques.
• Experience with knowledge graphs, graph ML, or graph data.

Aufgaben

• Design and productionize ML models for knowledge extraction and graph-based tasks.
• Evaluate existing models and accelerate real-world problem solving.
• Partner with backend/graph engineers to integrate ML models into services and APIs.
• Contribute to the design and evolution of knowledge graphs and ontologies.
• Perform EDA to inform modeling decisions and system design.
• Own ML components end-to-end from experimentation to deployment.

Kenntnisse

Python

Machine Learning

Data Analysis

NLP

Communication

Tools

APIs

Graph databases

Jobbeschreibung

TRM Labs is seeking a Full Stack Data Scientist / Machine Learning Engineer to advance knowledge extraction from unstructured data and graph-based ML. You will own models end-to-end, from experimentation to production, collaborating with graph engineers to deploy APIs and services.

The role emphasizes practical ML in knowledge graphs, entity resolution, and graph analytics, with a strong emphasis on production readiness and cross-functional collaboration.