Research Scientist Graduate (Computational Imaging-PICO) - 2027 Start (PhD)

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: phdSkills: ["Problem-solving","Collaboration","Curiosity"]

Develop next-generation computational imaging algorithms that deliver high visual quality and efficiency across PICO’s VR/MR/AR products. Work across the camera-to-display imaging chain, collaborate with camera/optics/ISP/display/AI/software/hardware teams, and use machine learning to accelerate prototyping. Conduct hands-on experiments with cameras, sensors, and AR/XR hardware platforms, define evaluation methods with automated feedback loops, and build proof-of-concept demos for enhancement and scene understanding.

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ByteDance
ByteDance
1 day ago

Research Scientist Graduate (Computational Imaging-PICO) - 2027 Start (PhD)

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Last checked: 13 hours agoStatus: Live

Job Summary

Develop next-generation computational imaging algorithms that deliver high visual quality and efficiency across PICO’s VR/MR/AR products. Work across the camera-to-display imaging chain, collaborate with camera/optics/ISP/display/AI/software/hardware teams, and use machine learning to accelerate prototyping. Conduct hands-on experiments with cameras, sensors, and AR/XR hardware platforms, define evaluation methods with automated feedback loops, and build proof-of-concept demos for enhancement and scene understanding.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Explore and develop computational imaging and computational photography technologies for VR/MR/AR products.
  • •Research emerging approaches and rapidly translate promising ideas into prototypes using machine learning and AI-assisted development tools.
  • •Work hands-on with cameras, sensors, and AR/XR hardware platforms to collect data, analyze system behavior, and debug imaging issues.
  • •Build proof-of-concept demos for image enhancement, intelligent capture, scene understanding, and multimodal features.
  • •Define evaluation methods and automated feedback loops to iteratively improve algorithms and features, collaborating across camera, optics, ISP, display, AI, software, hardware, silicon, and product development.

Key Requirements

  • •Completing or recently completed PhD in Computer Science, Electrical/Computer Engineering, Imaging Science, Optical Engineering, Color Science, or a related field.
  • •Solid foundation in image processing, computer vision, computational photography, or machine learning (e.g., denoising, HDR, tone mapping, super-resolution, deblurring, 3A, camera calibration, image quality assessment).
  • •Experience applying deep learning to image/video/vision/multimodal applications using PyTorch or TensorFlow, with architectures such as CNNs, transformers, diffusion models, or GANs.
  • •Ability to quickly explore new areas, identify practical approaches, and build prototypes through hands-on experimentation.
  • •Proficiency in Python or MATLAB (or similar), with familiarity in C or C++.
Education:PhD / Doctorate
Skills:Problem-solvingCollaborationCuriosity
Tech Stack:PythonMATLABCC++PyTorchTensorFlowCNNsTransformersDiffusion modelsGANsImage processingComputer visionComputational photographyMachine learningAI coding agentsAutomated evaluationAgent harness design

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn