Adapt TwelveLabs' video understanding and multimodal models for government-specific use cases (defense, intelligence analysis, federal records management)
Run training and fine-tuning experiments on cutting edge GPU infrastructure
Develop supervised fine-tuning pipelines tailored to government-specific datasets and annotation workflows
Design rigorous evaluation frameworks, including domain-specific benchmarks and operational performance metrics, that are tailored to public sector requirements
Work closely with Solutions Engineering and the engineering team to translate customer requirements into technical implementations
Requirements:
Strong research experience in one or more of: deep learning, computer vision, multimodal representation learning, temporal video understanding, or neural networks.
Hands-on experience with model fine-tuning, supervised fine-tuning (SFT), or domain adaptation at scale
Experience leading or contributing to research projects for government, DoD, or Intelligence Community programs - including applied research, model development, or technical delivery in mission-driven environments
Proficiency in Python and PyTorch
Comfort working within constrained or regulated compute environments
Active Top Secret clearance or ability to obtain
PhD or Master's in Computer Science, Mathematics, or related field
Benefits:
An open and inclusive culture and work environment.
Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
Full health, dental, and vision benefits
Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
VISA support where applicable
Skills & Requirements
Technical Skills
video understandingmultimodal modelsfine-tuningdomain adaptationPythonPyTorchproblem solvingcollaborationdecision-makingTop Secret clearancedefenseintelligence analysisfederal records management