Lead Research Scientist, VLMs & Video Post-Training

techire ai; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

techire ai is seeking a Research Scientist / Principal Research Scientist specializing in vision-language models, video understanding, and post-training. You will conduct hands-on research within a small team and contribute to production-ready models.

The role covers training, evaluation, and deployment, with emphasis on long-context and egocentric video, SFT, RL, and efficient post-training techniques to boost real-world performance.

Qualifications

• Hands-on research in multimodal VLMs and long-form video understanding.
• Experience training transformer-based models and post-training approaches.
• Publications helpful; practical research impact valued.

Responsibilities

• Train and improve vision-language and multimodal models on large-scale real-world video.
• Develop post-training pipelines using SFT, RL, and reward-based training.
• Advance long-context and egocentric video understanding with temporal reasoning.
• Design training objectives for temporal, spatial, and activity reasoning.
• Build evaluation frameworks for video understanding and real-world model performance.
• Explore distillation, quantisation, and model routing for production deployment.

Skills

Deep learning

Computer vision

Multimodal learning

Video understanding

Transformer models

Reinforcement learning

Post-training

Job description

techire ai is seeking a Research Scientist / Principal Research Scientist specializing in vision-language models, video understanding, and post-training. You will conduct hands-on research within a small team and contribute to production-ready models.

The role covers training, evaluation, and deployment, with emphasis on long-context and egocentric video, SFT, RL, and efficient post-training techniques to boost real-world performance.