Job Description
- 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
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