
Full Stack Data Scientist
TRM Labs
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Design, build, and productionize machine learning models focused on:
- Knowledge extraction from unstructured data (e.g., NER, entity linking)
- Graph-based learning and inference
- Entity resolution and relationship discovery
- 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 and APIs
- 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
- Help shape best practices for applied ML within the Knowledge Layer team
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), text classification, or embedding-based approaches
- Experience or strong interest in knowledge graphs, graph data, or graph-based ML
- Solid software engineering fundamentals, including building and maintaining APIs or services
- Ability to translate ambiguous problem spaces into practical ML solutions
- Strong communication skills and comfort collaborating with engineers across disciplines
Benefits
- Health insurance
- 401(k)
- Flexible work arrangements
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningknowledge extractionNamed Entity Recognitionentity linkinggraph-based learningentity resolutionrelationship discoveryexploratory data analysisPythonNLP
Soft Skills
strong communicationcollaborationproblem-solving