Senior Machine Learning Engineer, Knowledge Layer

📋 Description

• Design, build, and productionize machine learning models focused on knowledge extraction from
• Evaluate and leverage existing ML models and frameworks to solve real-world problems efficiently
• Partner closely with backend and graph engineers to integrate ML models into production services
• Contribute to the design and evolution of knowledge graphs and ontologies
• Perform exploratory data analysis (EDA) to inform modeling decisions and system design
• Own ML components end-to-end, including experimentation, evaluation, deployment, and iteration

🎯 Requirements

• 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)
• Experience or strong interest in knowledge graphs, graph data, or graph-based ML
• Solid software engineering fundamentals, including building and maintaining APIs or services

🎁 Benefits

• Base salary range $180,000 - $210,000 (US)
• Eligible to participate in TRM's equity plan
• Location-specific compensation adjustments outside the US
• Company coordinates and covers approved travel, lodging, and workspace for in-person R&D work