Trm Labs Senior Data Scientist at TRM Labs focused on building and productionizing machine learning models for knowledge extraction and graph-based learning. Collaborate with engineers to integrate ML models into production services and APIs.
Responsibilities
We are building a safer world. That promise shows up in how we work every day.
TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. 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. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.
At TRM, you should expect:
Priorities and targets to change quickly
Operating with a high degree of ambiguity
A high level of personal ownership and accountability
Close collaboration across teams and functions
Frequent, high-touch communication
Creative problem-solving and out-of-the-box thinking
A pace that rewards urgency, adaptability, and outcomes
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.
Qualification
5+ years of experience in data scienceStrong programming experience in PythonHands-on experience buildingSolid software engineering fundamentalsIndividual pay is determined by skillsAdditionally
Required
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
The following represents the expected range of compensation for this role:
Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
The estimated base salary range for this role is $180,000 - $210,000
Additionally, this role may be eligible to participate in TRM’s equity plan.
