Machine Learning Engineer Intern - Video Foundation Models & Agentic AI

Maxinsights • Santa Clara, CA

1d

About The Position

The intern will work with a team building Max VLM, a 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 such as fine-grained video understanding, robotics evaluation, and intelligent video analysis, combining AI research with practical engineering across data generation, model training, evaluation, optimization, and deployment.

The role focuses on developing video-language foundation models and machine learning pipelines, creating evaluation methods for video understanding and robotics, and exploring multimodal learning, reinforcement learning, and agentic AI. The intern will collaborate with the team to turn new ideas into practical solutions and contribute to research and product development.

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, with experience in at least one of the following areas: 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 the 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 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.

Benefits

• Health insurance
• Vision care
• Dental coverage
• 401(k)
• Paid holidays
• PTO (Paid Time Off)
• Sick leave
• Opportunity to work on practical AI challenges with real-world video data and applications in video intelligence and robotics.
• Hands-on experience developing, training, evaluating, and optimizing state-of-the-art multimodal models.
• Opportunity to explore emerging techniques in video reasoning, agentic AI, and reinforcement learning.
• Opportunities to contribute to novel research and publications at leading AI, computer vision, and robotics conferences.
• Work closely with an experienced team, take ownership of meaningful projects, and contribute to real-world impact.

What This Job Offers

• Career Level: Intern