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Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance simulation, and AI image generation.
Job Responsibility:
Design and execute algorithms in the domain of computer vision, machine learning, computer graphics, and generative AI
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 has, or is in the process of obtaining, 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 (e.g. appearance, geometry, physically-based modeling), or machine learning (e.g. efficient deep learning, domain adaptation, transfer 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
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Nice to have:
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc
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 (e.g. GitHub)
Experiences working on high volume image data processing or synthesis