Visual Generation & Multimodal Evaluation Researcher Graduate (AML-Ark-US) - 2027 Start (PhD)

ByteDance

$153K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, AI, Machine Learning, Computer Vision, or related field.
  • Strong foundation in deep learning and computer vision, particularly generative modeling.
  • Experience in visual generation, multimodal large language models, video understanding, or visual quality assessment.
  • Proficient in Python and experienced with PyTorch or similar frameworks.
  • Demonstrated ability through publications, projects, internships, or open-source contributions.
  • Preferred: Publications in top-tier vision/ML conferences (e.g., NeurIPS, CVPR, etc.).
  • Preferred: Familiarity with visual generation benchmarks and evaluation frameworks.

Responsibilities

  • Build evaluation systems for image and video models, focusing on quality, instruction following, multimodal understanding, and safety.
  • Develop automated metrics and model-based evaluators as well as design reproducible evaluation protocols.
  • Create video generation and debugging agents that manage multi-step creative workflows.
  • Construct large-scale data pipelines for image and video, translating evaluation insights into model improvements.

Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave and short/long-term disability coverage.
  • Life insurance and wellbeing benefits.
  • 10 paid holidays and 10 paid sick days annually.
  • 17 days of Paid Personal Time, increasing with tenure.
Full Job Description
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. Qualification Minimum Qualifications: - Individuals who are completing or have recently completed a PhD'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. Preferred Qualifications: - 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. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $153900 - $300960 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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