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Open nowFirst seen 5 hours ago

Computer Vision Research Scientist

Meta1,082 open roles

Where
Redmond, WA; Burlingame, CA
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Your applicationOpen nowComputer Vision Research ScientistMeta · Redmond, WA; Burlingame, CA

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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: first seen 5 hours ago

Meta median: 35 days open

The posting

We're building the next generation of computer vision technology for wearables. You'll own a core technical area spanning reconstruction and generative enhancement, and drive it from research through production on wearables.

Responsibilities

  • Own a core area of our reconstruction stack and set its technical direction
  • Advance 3D visual representations, optimizing them for on-device delivery and representation
  • Develop image composition and correction techniques
  • Lead generative quality improvement for real-world capture
  • Optimize models for on-device inference under hard compute, memory, latency, thermal, and power constraints, and partition work between device and cloud
  • Define image quality gates
  • Own training data strategy,
  • Partner with product and platform teams to take prototypes through dogfooding and experimentation to shipped features
  • Shape the technical roadmap for your area and influence it across organizational boundaries
  • Deliver production-quality code, review others' work, and raise the engineering bar

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science, Electrical Engineering, Robotics, Applied Math, or a related field with a computer vision, graphics, or ML focus — or equivalent practical experience
  • 6+ years building production computer vision or graphics systems
  • Deep expertise in geometric vision: SfM, SLAM/VIO, multi-view stereo, calibration, bundle adjustment, or learned depth
  • Proven experience training and deploying deep learning models (PyTorch or equivalent)
  • Expert-level C++ and strong Python
  • Demonstrated record of taking research from prototype to shipped product

Preferred Qualifications

  • Hands-on experience with 3D scene representations
  • Track record of technical leadership setting direction, mentoring, and driving multi-team efforts
  • Experience with generative image and video models
  • Strong publication record at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, 3DV)
  • Experience with camera ISP pipelines, computational photography, or multi-sensor fusion

US: $184,000/year to $257,000/year + bonus + equity

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