Research Scientist Intern

2 days ago


Burlingame, California, United States META Full time
Research Scientist Intern - Synthetic Image Generation

Meta is seeking a highly motivated and talented Research Scientist Intern to join our Reality Labs team. As a Research Scientist Intern, you will work on cutting-edge projects in synthetic image generation, computer vision, and machine learning.

Responsibilities:
  • Design and implement novel algorithms for synthetic image generation and translation.
  • Conduct in-depth literature reviews and build knowledge of the latest advancements in AI-based image generation techniques.
  • Collaborate with our research team to design and implement novel algorithms for synthetic image generation or translation.
  • Experiment with cutting-edge machine learning models and frameworks to enhance image synthesis capabilities.
  • Analyze and evaluate model performance, iterating on approaches to improve image quality, realism, and diversity.
  • Document and share research findings, contribute to technical reports, and potentially publish in academic or industry conferences/journals.
Requirements:
  • Currently pursuing or has a PhD degree in EE/CS, Applied Math, or a related STEM field.
  • Experience in Python or C++.
  • Experience with ML frameworks such as PyTorch or Tensorflow.
  • Experience in one or more of the following: generative AI, computer vision, computer graphics, or machine learning.
  • Strong analytical and problem-solving skills with a passion for innovation and cutting-edge research.
  • Excellent written and verbal communication skills, with the ability to present complex ideas clearly and concisely.
Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at leading journals or conferences.
  • Contributions to open-source projects, publications, or relevant projects demonstrating expertise in synthetic image generation.
  • Experience with cloud computing platforms and distributed computing for large-scale experiments.
  • Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories.

Meta is committed to providing reasonable support in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accessibility@meta.com.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.



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