Senior Machine Learning Engineer, Knowledge Layer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement machine learning models for knowledge extraction, graph-based learning and inference, entity resolution, and relationship discovery.

• Assess and utilize existing ML models and frameworks to address real-world challenges.

• Collaborate with backend and graph engineers to embed ML models into production services and APIs.

• Contribute to the design and advancement of knowledge graphs and ontologies.

• Conduct exploratory data analysis (EDA) to guide modeling decisions and system architecture.

• Take ownership of ML components from start to finish, encompassing experimentation, evaluation, deployment, and iteration.

• Help establish best practices for applied ML within the Knowledge Layer team.

⛳️ Requirements

• Over 5 years of experience in data science, machine learning engineering, or applied ML.

• Proficient programming skills in Python.

• Practical experience in building, training, or deploying machine learning models in a production environment.

• Knowledge of NLP or information extraction methods, such as Named Entity Recognition (NER), text classification, or embedding-based techniques.

• Experience or keen interest in knowledge graphs, graph data, or graph-based ML.

• Strong software engineering principles, including the ability to build and maintain APIs or services.

• Capable of translating vague problem areas into actionable ML solutions.

• Excellent communication skills and comfort in collaborating with engineers from various disciplines.

• AI fluency: using AI to enhance workflows, structure and resolve issues, improve output quality, and increase efficiency and leverage.

• Willingness to participate in in-person R&D work weeks and potential additional travel as required by team and cross-functional needs.

🏝️ Benefits

• Eligible to take part in TRM’s equity plan.

• In-person R&D work weeks typically occur 1–2 times per quarter.

• TRM arranges and covers approved travel, lodging, and workspace expenses.

• Accommodations for legitimate caregiving, health, immigration, and similar constraints are provided.

• Competitive benefits, wellness programs, and time off from work, varying by country and local employment regulations.