Video Foundation Models Intern - Agentic AI & ML

Maxinsights; Santa Clara (CA); On-site; USD 33,000 - 47,000; Part time

Benefits offered by this job

Health insurance

Vision care

Dental coverage

401(k)

Paid holidays

PTO (Paid Time Off)

Sick leave

Job summary

Maxinsights is seeking motivated interns to contribute to Max VLM, a next-generation video foundation model for understanding human activities and interactions. You will work across data, model training, evaluation, and deployment in a fast-paced startup setting.

You'll gain hands-on experience in multimodal AI, video understanding, and reinforcement learning, collaborating with researchers and engineers to translate ideas into practical solutions and publications where possible.

Qualifications

• Currently pursuing a Master’s or PhD in Computer Science, AI, ML, CV, Robotics, or related field with solid understanding of deep learning and related areas.
• Proficiency in Python and experience with PyTorch.
• Strong problem-solving skills and ability to independently implement and evaluate ML algorithms.

Responsibilities

• Develop and improve video-language foundation models for fine-grained video understanding, temporal reasoning, and human-object interaction analysis.
• Build and optimize ML pipelines for data processing, model training, evaluation, and inference.
• Develop evaluation methods and benchmarks for video understanding and robotics applications, including action understanding, manipulation tasks, and task-success assessment.
• Explore advanced techniques in multimodal learning, reinforcement learning, and agentic AI to improve model capabilities.
• Collaborate with the team to translate new ideas into practical solutions and contribute to research and product development.

Skills

Python

PyTorch

Deep learning

Education

Master's or PhD in CS/AI/ML/CV/Robotics

Tools

DeepSpeed

Megatron-LM

vLLM

Job description

Maxinsights is seeking motivated interns to contribute to Max VLM, a next-generation video foundation model for understanding human activities and interactions. You will work across data, model training, evaluation, and deployment in a fast-paced startup setting.

You'll gain hands-on experience in multimodal AI, video understanding, and reinforcement learning, collaborating with researchers and engineers to translate ideas into practical solutions and publications where possible.