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3D Computer Vision Jobs in Seattle, WA (NOW HIRING)

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D ... Knowledge of 3D, CAD and computer graphics * Experience with cloud computing (e.g., AWS) DURANTA ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $275K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D ... Knowledge of 3D, CAD and computer graphics * Experience with cloud computing (e.g., AWS) DURANTA ...

Meta

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K - $217K/yr

We're addressing a variety of technical challenges in the areas of real-time image processing, 3D ... computer vision, machine learning, and graphics • Participate in cutting edge research in ...

Apple

CV and ML Engineer

Seattle, WA

$175K - $308K/yr

We are a team of computer vision and machine learning engineers building real-time 3D perception and spatial understanding technologies for current and future Apple products. The VCV org is a ...

Apple

CV and ML Engineer

Seattle, WA

$175K - $308K/yr

We are a team of computer vision and machine learning engineers building real-time 3D perception and spatial understanding technologies for current and future Apple products. The VCV org is a ...

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All Jobs3D Computer Vision Jobs3D Computer Vision Jobs in Seattle, WA

3D Computer Vision information

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How much do 3d computer vision jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for 3d computer vision in Seattle, WA is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $26.54 per hour, depending on experience, location, and employer.

What is 3D computer vision?

3D computer vision is a field within computer science and artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world in three dimensions. Unlike traditional 2D computer vision, which works with flat images, 3D computer vision uses data from sources like stereo cameras, LiDAR, or depth sensors to reconstruct and analyze the shape, size, and position of objects in a scene. This technology is crucial for applications such as autonomous vehicles, robotics, augmented reality, and medical imaging. By understanding the spatial relationships between objects, 3D computer vision systems can enable machines to interact more effectively with their environment.

What are some common challenges faced by 3D computer vision engineers during project development?

3D Computer Vision engineers often encounter challenges such as managing noisy or incomplete data from sensors, ensuring real-time processing speeds, and integrating algorithms with various hardware platforms. Additionally, adapting solutions to diverse environments—such as changing lighting conditions or object occlusions—requires robust model design and continual testing. Collaboration with cross-functional teams, including hardware engineers and software developers, is key to overcoming these challenges and successfully deploying 3D vision applications.

What are the key skills and qualifications needed to thrive as a 3d computer vision engineer, and why are they important?

To thrive as a 3D Computer Vision Engineer, you need a solid background in computer vision, mathematics (especially linear algebra and geometry), and programming, often supported by a degree in computer science, engineering, or a related field. Proficiency in Python or C++, experience with libraries like OpenCV and PCL, and familiarity with deep learning frameworks such as TensorFlow or PyTorch are typically required. Strong problem-solving skills, creativity, and effective teamwork help candidates excel in developing novel algorithms and collaborating across disciplines. These skills and qualities are crucial for creating innovative 3D perception systems that meet real-world challenges and drive advancements in areas like robotics, AR/VR, and autonomous vehicles.

What are popular job titles related to 3D Computer Vision jobs in Seattle, WA?

For 3D Computer Vision jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching 3D Computer Vision jobs in Seattle, WA look for?

The top searched job categories for 3D Computer Vision jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for 3D Computer Vision jobs?

Cities near Seattle, WA with the most 3D Computer Vision job openings:

3D Computer Vision jobs near you
Infographic showing various 3D Computer Vision job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $49,358 per year, or $23.7 per hour.

Computer Vision Engineer

Duranta

Seattle, WA • On-site, Remote

$160K - $275K/yr

Full-time

Re-posted 24 days ago

Job description

ABOUT DURANTA & WHAT WE'RE LOOKING FOR

Duranta is an applied AI lab changing the way the world sees the world. Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D, redefining how industries interact with the physical world through Artificial Spatial Intelligence.  Duranta's founding team have built unicorns, had successful exits and published groundbreaking research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to join our team.

Who you'll be working with:

  • Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH)
  • Dr. Romann Bachmann - maker of MultiMAE, collaborator on MODUS, winner young investigator award
  • A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU and NYU

You will also work closely with the founding team on deep learning research and deployment across semantic and instance segmentation, few-shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive intelligence from optical imagery.

RESPONSIBILITIES & FOCUS AREAS
  • Building the components of a state-of-the-art computer vision pipeline for our AI system
  • Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
  • Run experiments at scale with deep learning frameworks like PyTorch 
  • Develop and maintain clean, modular ML infrastructure
  • Collaborate on model deployment and inference optimizations
  • Read and reproduce ideas from latest papers (CVPR, NeurIPS and other similar top-tier venues)
YOU WILL THRIVE IF YOU HAVE
  • Have 5+ years experience in ML / deep learning, ideally in Computer Vision
  • Have strong coding ability (Python, PyTorch) 
  • Have trained segmentation/detection models on real-world data at scale
  • Have experience with generative modeling and large foundation models
  • Have worked in startups or fast-moving teams and can wear many hats
AND FOR EXTRA CREDIT...
  • Experience with high-res aerial/remote sensing imagery and LiDAR
  • Experience with self-supervised and weakly-supervised learning
  • Knowledge of 3D, CAD and computer graphics
  • Experience with cloud computing (e.g., AWS)
DURANTA VALUES
  • API = Assume Positive Intent. Our company, your relationship with co-workers and customers, and life is so much better and more fun if you follow this rule.
  • Speed is the Essence. We are in a hurry to make a difference.
  • Expect Peak Performance. We strive for excellence and empower those around us to do the same.
  • Build something beautiful. A beautiful product, a beautiful company, and a more beautiful world.
$160,000 - $275,000 a year
+ equity
 
Note: Base salary & equity will depend largely on leveling.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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