Video Foundation Models Engineer for Autonomous Robots

Figure; San Jose (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

A robotics firm in San Jose seeks a Helix AI Engineer, Video Pretraining, focused on creating large-scale video foundation models trained on diverse data. Responsibilities include designing training models, optimizing performance, and collaborating with teams on advanced AI systems. Required qualifications include experience with video data, proficiency in Python and deep learning frameworks such as PyTorch, and familiarity with distributed training systems. The role demands strong problem-solving skills and independence in research direction. This position requires in-office collaboration five days a week.

Qualifications

• Experience with large-scale pretraining and dataset curation.
• Ability to drive high-impact research directions.
• Experience with large GPU clusters.

Responsibilities

• Design and train large-scale video foundation models.
• Develop pretraining strategies for raw video sequences.
• Optimize model performance and implement efficient data pipelines.
• Collaborate with generative modeling and robot learning teams.

Skills

Experience training large-scale models on video data

Strong understanding of modern deep learning architectures

Proficiency in Python and deep learning frameworks

Experience with distributed training systems

Strong experimental rigor

Solid software engineering skills

Ability to operate independently

Tools

PyTorch

Job description

A robotics firm in San Jose seeks a Helix AI Engineer, Video Pretraining, focused on creating large-scale video foundation models trained on diverse data. Responsibilities include designing training models, optimizing performance, and collaborating with teams on advanced AI systems. Required qualifications include experience with video data, proficiency in Python and deep learning frameworks such as PyTorch, and familiarity with distributed training systems. The role demands strong problem-solving skills and independence in research direction. This position requires in-office collaboration five days a week.