Pioneering Visual Generation & Multimodal Evaluation

Bytedance; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Job summary

ByteDance’s Applied Machine Learning Ark team seeks engineers and researchers to build end-to-end MaaS solutions for text and multimodal LLMs, with large-scale data pipelines and evaluation systems. You will contribute to model training, alignment, and agent workflows across US and international markets.

Applicants should hold a PhD (or be nearing completion) in CS/AI/ML/CV, have strong Python and PyTorch skills, and proven work in generative modeling, visual generation, or multimodal

Qualifications

• PhD in Computer Science, AI, ML, CV, or a related field.
• Strong foundation in deep learning and computer vision, including generative modeling.
• Experience in visual generation, multimodal LLMs, video understanding, or visual quality assessment.
• Strong Python skills and PyTorch or equivalent framework.

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

Education

PhD in Computer Science / AI / ML / CV

Tools

PyTorch

Job description

ByteDance’s Applied Machine Learning Ark team seeks engineers and researchers to build end-to-end MaaS solutions for text and multimodal LLMs, with large-scale data pipelines and evaluation systems. You will contribute to model training, alignment, and agent workflows across US and international markets.

Applicants should hold a PhD (or be nearing completion) in CS/AI/ML/CV, have strong Python and PyTorch skills, and proven work in generative modeling, visual generation, or multimodal