Machine Learning Engineer Intern - Video Foundation Models & Agentic AI

Maxinsights • Santa Clara, CA

2d

About The Position

The Machine Learning Engineer Intern will contribute to the development of Max VLM, a next-generation video foundation model designed to understand human activities, object interactions, and the physical world through first-person video. The team develops video-understanding systems for applications including fine-grained video understanding, robotics evaluation, and intelligent video analysis.

This internship combines AI research and practical engineering across the machine learning lifecycle, including data generation, model training, evaluation, optimization, and deployment. Interns will work on multimodal AI problems and collaborate with the team to turn research ideas into practical solutions.

Requirements

• Currently pursuing a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Robotics, or a related field.
• Solid understanding of deep learning and experience in at least one of computer vision, multimodal learning, large language models, video understanding, or robotics.
• Proficiency in Python and experience with deep learning frameworks such as PyTorch.
• Strong problem-solving skills and ability to independently implement and evaluate machine learning algorithms.

Nice To Haves

• Hands-on experience with vision-language models, video understanding, or multimodal foundation models.
• Experience with LLM/VLM fine-tuning, reinforcement learning, or agentic AI.
• Experience with robotics, robotic manipulation, or robot learning and evaluation.
• Familiarity with distributed training, model optimization, or inference frameworks such as DeepSpeed, Megatron-LM, or vLLM.
• Publications at leading AI, computer vision, or robotics conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, or CoRL.
• Passion for applying cutting-edge AI technologies to challenging real-world problems.

Responsibilities

• Develop and improve video-language foundation models for fine-grained video understanding, temporal reasoning, and human-object interaction analysis.
• Build and optimize machine learning 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 multimodal learning, reinforcement learning, and agentic AI techniques to improve model capabilities.
• Collaborate with the team to translate new ideas into practical solutions and contribute to research and product development.

Benefits

• Health insurance
• Vision care
• Dental coverage
• 401(k)
• Paid holidays
• PTO (Paid Time Off)
• Sick leave

What This Job Offers

• Job Type: Full-time
• Career Level: Intern