ML Engineer Intern: Multimodal ML & LLM Evaluation

Bytedance; San Jose (CA); On-site; USD 51,000 - 73,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Housing allowance

Paid holidays

Paid sick time

Job summary

ByteDance's Applied Machine Learning Ark team builds LLM MaaS platforms for the US and international markets. This internship offers hands-on work across image/video evaluation, multimodal LLMs, and video generation workflows, with opportunities to learn from industry professionals.

Interns participate in social events, workshops, and development programs, gaining practical experience and a foundation for future careers in AI research or engineering.

Qualifications

• Currently pursuing a Bachelor'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: 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

Python

PyTorch

Deep learning

Computer vision

Multimodal evaluation

Video understanding

Education

Bachelor's degree in CS/AI/ML/CV

Job description

ByteDance's Applied Machine Learning Ark team builds LLM MaaS platforms for the US and international markets. This internship offers hands-on work across image/video evaluation, multimodal LLMs, and video generation workflows, with opportunities to learn from industry professionals.

Interns participate in social events, workshops, and development programs, gaining practical experience and a foundation for future careers in AI research or engineering.