Visual Generation & Multimodal Evaluation Machine Learning Engineer Intern (AML-Ark-US) - 2027 Summer

Public source summary from intern-list.com / Jobright.

ByteDance is a technology company developing products and platforms that inspire creativity and enrich life. The Visual Generation & Multimodal Evaluation Machine Learning Engineer Intern will build evaluation systems, automated metrics, human evaluation protocols, and video generation/debugging agents for image and video models and agents.

The role will also develop large-scale visual data pipelines and use evaluation findings to improve models and products.

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

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 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 Publications at top-tier vision or ML venues, e.g., NeurIPS, ICML, CVPR, ICCV, ECCV, etc Hands-on experience with modern visual generation stacks, including diffusion-based models and their post-training Familiarity with visual generation benchmarks, or experience building evaluation frameworks Experience applying agent frameworks to creative workflows, or working with large-scale video data infrastructure

Benefits: Day one access to health insurance, life insurance, wellbeing benefits and more. 10 paid holidays per year. Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).

Interns who are not working 100% remote may also be eligible for housing allowance.