Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM’s platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.
We’re looking for a Full Stack Data Scientist / Machine Learning Engineer to join our Knowledge Layer team, a group focused on extracting, structuring, and analyzing knowledge from large-scale, unstructured data. This team sits at the intersection of knowledge graphs, entity resolution, graph extraction, and graph analytics, and plays a critical role in powering TRM’s core intelligence products.
While the team has strong backend and graph engineering expertise, we are looking for someone to be the machine learning and data science voice in the room — bringing practical ML expertise, especially in knowledge extraction and graph-based ML, to help accelerate and scale our capabilities.
This is an ideal role for someone who enjoys operating end-to-end: from model selection and experimentation, to productionizing ML systems and APIs.

Design, build, and productionize machine learning models focused on:
Knowledge extraction from unstructured data (e.g., 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
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
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
- 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
- Individual pay is determined by skills, qualifications, experience, and location. Additionally, this role may be eligible to participate in TRM’s equity plan.

Please note – we factor in the different costs for geographies outside the United States.
Work Week Travel: This role requires participation in in-person R&D; work weeks, typically 1–2 times per quarter, at a TRM hub or other designated location.



Work weeks may be scheduled with as little as 14 days’ notice, and some roles may require additional travel based on team and cross-functional needs. Accommodations are available for legitimate caregiving, health, immigration, and similar constraints.
Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview.
Deep dive into your relevant experience, skills, and impact.
This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM.
References: Former colleagues who can provide insight into your work and impact.
Welcome to TRM: We’re excited to build a safer world with you!
Your recruiter will share your specific interview plan and preparation guidance along the way.

AI Fluency at TRM
AI fluency is a baseline expectation at TRM.
We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.
At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:
You will be evaluated on applied AI fluency during the interview process.

We are building a safer world. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.
Our work sits at the intersection of AI, national security, and fighting crime. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.
Operating with a high degree of ambiguity
A high level of personal ownership and accountability
Close collaboration across teams and functions
Creative problem-solving and out-of-the-box thinking
This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires thriving in ambiguity,



adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.
If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute.

We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.
At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.
TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law.
If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance.
The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form .

TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

📌 Senior Data & Machine Learning Engineer (Italia)
🏢 TRM Labs
📍 Italia