AI Research Engineer
TRM Labs - North America | Remote
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Public-company From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
AI Research Engineer North America | Remote 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. The AI Research Engineer will join our AI Engineering team, a group focused on advancing model selection, fine-tuning, and evaluation strategies for production-scale AI systems. As a senior individual contributor, this person will lead technical efforts to push the boundaries of model performance and orchestration, directly impacting the competitiveness of our AI Engineering platform. The impact you will have: - Design, build, and own a production-grade evaluation system that drives measurable improvements in model accuracy and latency. - Lead experimentation, fine-tuning, and feedback-based evaluation loops for continuous model optimization. - Advance the orchestration of AI/ML systems, ensuring scalable, resilient, and high-impact deployments. - Elevate technical standards through engineering craftsmanship, mentorship, and leadership as a senior IC. What we're looking for: - Advanced programming expertise in Python and SQL, with strong system design skills. - Deep experience deploying machine learning/deep learning models in production (LLM/GenAI strongly preferred). - Strong foundation in experimentation frameworks, evaluation metrics, and ML Ops practices. - Proven ability to own critical systems end-to-end and collaborate effectively with cross-functional partners. About the Team: - The AI Engineering team operates with a high level of collaboration and interdependence,
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