Senior ML Engineer, Knowledge Layer — Graph ML & NLP

TRM Labs; San Francisco (CA); Hybrid; USD 180,000 - 210,000; Full time

Benefits offered by this job

Equity plan

Job summary

TRM Labs is seeking a Full Stack Data Scientist / Machine Learning Engineer to join the Knowledge Layer team in San Francisco. You will own end-to-end ML work, from model selection to deployment and API integration, with a focus on knowledge graphs and entity resolution.

The role requires 5+ years in data science or ML engineering, strong Python skills, and hands-on production experience with NLP/NER and graph-based approaches.

Qualifications

• 5+ years of experience in data science, machine learning 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 from unstructured data.
• Develop graph-based learning and inference capabilities.
• Implement entity resolution and relationship discovery pipelines.
• Collaborate with backend/graph engineers to integrate models into production services and APIs.

Skills

Python

ML engineering

NLP/NER

Knowledge graphs

APIs & services

Job description

TRM Labs is seeking a Full Stack Data Scientist / Machine Learning Engineer to join the Knowledge Layer team in San Francisco. You will own end-to-end ML work, from model selection to deployment and API integration, with a focus on knowledge graphs and entity resolution.

The role requires 5+ years in data science or ML engineering, strong Python skills, and hands-on production experience with NLP/NER and graph-based approaches.