Job Description:
• 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