Pioneering Multimodal Visual Gen & Evaluation Scientist

ByteDance; Seattle (WA); On-site; USD 150,000 - 190,000; Full time

Job summary

ByteDance's Applied Machine Learning Ark team builds LLM service platforms and MaaS solutions for the US and international markets. We work on end-to-end systems spanning text and multimodal LLMs, training, inference, prompt engineering, model alignment, and agent systems.

As a graduate, you will tackle bold ideas, join a fast-growing team, and contribute to scalable data pipelines and evaluation frameworks.

Qualifications

• PhD in Computer Science, AI, ML, CV, or related field.
• Strong foundation in deep learning and computer vision.
• Experience in visual generation, multimodal LLMs, video understanding, or visual quality assessment.
• Strong Python skills and PyTorch or an equivalent framework.
• Publications, substantial projects, internships, or open-source work demonstrated.

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

PhD in CS/AI

Deep learning

Python

PyTorch

Research publications/projects

Education

PhD in CS/AI or related field

Tools

PyTorch

Job description

ByteDance's Applied Machine Learning Ark team builds LLM service platforms and MaaS solutions for the US and international markets. We work on end-to-end systems spanning text and multimodal LLMs, training, inference, prompt engineering, model alignment, and agent systems.

As a graduate, you will tackle bold ideas, join a fast-growing team, and contribute to scalable data pipelines and evaluation frameworks.