Senior Machine Learning Engineer, Knowledge Layer

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $180k - $210k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 8%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TRM Labs

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

₿ Crypto

📋 Compliance

🤝 B2B

Crypto • Compliance • B2B

TRM Labs is a blockchain intelligence company that provides transaction-monitoring, forensics, and compliance solutions for businesses and public-sector organizations dealing with cryptocurrencies. Their platform and products (examples: Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) help banks, crypto firms, regulators, law enforcement, and tax authorities detect, investigate, and block illicit crypto activity, support seizures, and meet AML/CTF and supervision requirements. TRM also offers training and certification (TRM Academy) and professional services such as incident response and capacity development.

📋 Description

• Design, build, and productionize machine learning models for knowledge extraction, graph-based learning and inference, entity resolution, and relationship discovery • Evaluate and leverage existing ML models and frameworks for real-world problems • Partner 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 • AI fluency: applying AI to accelerate workflows, structure and solve problems, improve output quality, and increase speed and leverage • Participation in in-person R&D work weeks and possible additional travel based on team and cross-functional needs

🏖️ Benefits

• Eligible to participate in TRM’s equity plan • In-person R&D work weeks typically 1–2 times per quarter • TRM coordinates and covers approved travel, lodging, and workspace • Accommodations for legitimate caregiving, health, immigration, and similar constraints • Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements