Research Scientist Intern, Computer Vision - Video Intelligence (PhD)
Meta
Research Scientist Intern, Computer Vision - Video Intelligence (PhD)
Meta
Posted 4 days ago
Internship
Menlo Park, California
In Person
Smart Summary
Responsibilities
Conduct research on advanced topics in video generation and understanding, including text-to-video and image-to-video models. Design, implement, and evaluate novel algorithms while collaborating with researchers across the GenAI teams.
Qualifications
You are a PhD student pursuing a degree in Computer Science, Electrical Engineering, or a related field with a focus on generative modeling, computer vision, or machine learning. You have programming experience in Python and deep learning frameworks like PyTorch, along with experience in generative models such as diffusion models, LLMs, or autoregressive transformers.
Must Have Skills for ATS
Python
PyTorch
generative modeling
computer vision
machine learning
diffusion models
LLM
autoregressive transformers
text-to-video generative models
image-to-video generative models
video understanding models
unified native video generative models
multimodal learning
Job Description
Responsibilities
- Conduct research on advanced topics in video generation and understanding, including but not limited to text-to-video generative models, image-to-video generative models, video understanding models, unified native video generative models.
- Design, implement, and evaluate novel algorithms and model architectures.
- Collaborate closely with researchers and engineers across the Video Intelligence group and broader GenAI teams.
- Contribute to publications in top-tier conferences and journals in AI, computer vision, and machine learning.
- Present findings and share insights that help shape both ongoing research and future directions.
Minimum Qualifications
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Electrical Engineering, or related field with a focus on generative modeling, computer vision, or machine learning
- Programming experience in Python and hands-on experience in deep learning frameworks such as PyTorch
- Experience working on generative models e.g. diffusion models, LLM, autoregressive transformers, etc
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
- Intent to return to the degree program after the completion of the internship/co-op
- Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, or SIGGRAPH
- Strong track record of contributions to open-source projects, benchmarks, or shared research artifacts
- Research experience in video generation, temporal modeling, multimodal learning or unified native video generative models
- Experience working and communicating cross functionally in a fast-paced team environment. Ideal candidates should have the ability to quickly understand and identify the research opportunities behind real-world applications, select the appropriate ML methods to explore, and proactively drive the iterations based on clear analysis of the current results
$7,650/month to $12,667/month + benefits
Meta
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