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Visual Generation & Multimodal Evaluation Machine Learning Engineer Graduate AML-Ark-US - 2027 Start - ByteDance
ML Engineer
We're looking for a ML Engineer focused on advancing capabilities through data analysis and experimentation. This entry level role requires 1+ years of relevant experience.
About the role
- 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.
- Individuals who are completing or have recently completed a Bachelor's/ 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.
- 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.
Skills
machine learningdeep learningcomputer visionlarge language modelllmpytorchpython