Research Scientist Intern, 3D Scene Understanding (PhD)
Zurich, Zurich, Switzerland · On-site
Entry level
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Skills: 3D Scene Understanding, Computer Vision, Machine Learning, PyTorch, Python
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Mid level
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Internship
postgraduate degree
Posted 27d ago
~40 hrs/week
Responsibilities
Conduct research on 3D scene understanding, including representation learning, semantic scene graphs, and multimodal grounding. Design experiments on AR/VR hardware and document findings for submission to top-tier conferences like CVPR.
Requirements
Candidates must be pursuing a PhD in Computer Vision, Machine Learning, or Robotics with a proven publication record in top-tier venues. Proficiency in Python and PyTorch, along with experience in 3D datasets or AR/VR sensors, is required.
Full job description
Reality Labs Research is pioneering the next generation of AR/VR devices and intelligent systems. Our mission is to create the foundational technologies that enable contextual AI for AR glasses, VR headsets, and embodied agents. We are advancing the state of the art in 3D perception, multimodal scene understanding, and efficient on-device intelligence.
We are seeking a highly self-motivated and hands-on PhD student to join our team as a Research Scientist Intern for Summer 2026, focusing on 3D scene understanding.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities
Conduct research in 3D scene understanding, including but not limited to: Efficient and scalable 3D representation learning or reconstruction, Hierarchical / semantic scene graphs for large-scale environments, Open-vocabulary multimodal grounding (text, image, video, audio etc), Dynamic object tracking and temporal scene reasoning, and Edge-aware 3D scene understanding.
Design and execute experiments on public datasets and/or internal data from AR/VR hardware.
Collaborate with researchers, engineers, and interns across Reality Labs to advance the research frontier.
Document findings and aim for submission to CVPR or equivalent top-tier conferences.
Minimum Qualifications
Currently pursuing a PhD in Computer Vision, Machine Learning, Robotics, or a related field
Research background in at least one of: 3D scene understanding, semantic mapping, SLAM, or neural representations, Multimodal learning (vision + language, vision + audio), Large-scale 3D reconstruction or scene graph generation
Proven publication record in top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, etc.)
Programming skills in Python and PyTorch (or equivalent deep learning frameworks)
Hands-on experience with 3D datasets, rendering, or AR/VR sensors
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
Experience with hybrid 3D representations (e.g., Gaussian Splatting, NeRFs, octree/voxel methods)
Familiarity with open-vocabulary or foundation models (CLIP, Segment-Anything, LLMs for vision-language reasoning)
Knowledge of real-time or efficient deployment techniques (quantization, distillation, adaptive inference)
Ability to integrate research code into practical prototypes on edge devices (Jetson, AR/VR headsets)
Intent to return to degree-program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
Experience working and communicating cross functionally in a team environment
Related keywords
3D Scene UnderstandingAR/VRComputer VisionMachine LearningPyTorchPythonSLAMNeural Radiance FieldsGaussian SplattingCLIPSegment-AnythingLLMsCVPRICCVECCVNeurIPS
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How many Science & Research jobs are open in Zurich, Switzerland right now?
There are currently 269 open science & research positions in Zurich, Switzerland listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Zurich, Switzerland?
Companies currently hiring include NEURA Robotics, Takeda, Destinus, Google, Mediclinic Middle East, among others. Browse the listings above to see every active employer.
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Yes — 88 of the 269 open science & research positions offer remote or hybrid work (19 remote, 69 hybrid).
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