ML & AI Agent Intern: Build Multimodal LLM Platforms

Pangle; San Jose, Northern (CA, KY); Hybrid; USD 18,000 - 36,000; Full time

Job summary

ByteDance Internship in San Jose is seeking talented students for the Applied Machine Learning Ark team, working on large language model service platforms that span text and multimodal capabilities. You will help build end-to-end MaaS solutions, data pipelines, and evaluation systems across US and international markets.

The internship blends system engineering with cutting-edge AI research, offering hands-on experience, workshops, and opportunities to explore career paths in a fast-growing tech

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.
• Solid foundation in deep learning and computer vision, including generative modeling fundamentals.
• Practical experience in at least one of: visual generation, multimodal LLMs, video understanding, or visual quality assessment.
• Strong Python skills and proficiency with PyTorch or an equivalent framework, or multimodal evaluation framework.
• Demonstrated research or engineering ability through publications, substantial projects, internships, or open-source work.

Responsibilities

• Build evaluation systems for image and video models/agents, covering generation quality, instruction following, multimodal understanding, and safety.
• Develop automated metrics and model-based evaluators, and design reproducible human evaluation protocols.
• Design and develop video generation/debugging agents that orchestrate multi-step creative workflows.
• Build large-scale image and video data pipelines, and turn evaluation findings into model and product improvements.

Skills

Deep learning

Python

PyTorch

Computer vision

Multimodal evaluation

Education

Bachelor's or Master's in CS/AI/ML/CV

Tools

Multimodal evaluation frameworks

Job description

ByteDance Internship in San Jose is seeking talented students for the Applied Machine Learning Ark team, working on large language model service platforms that span text and multimodal capabilities. You will help build end-to-end MaaS solutions, data pipelines, and evaluation systems across US and international markets.

The internship blends system engineering with cutting-edge AI research, offering hands-on experience, workshops, and opportunities to explore career paths in a fast-growing tech