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From Home Computer Vision Postdoc Jobs in Federal Way, WA

Meta

Computer Vision Engineer

Seattle, WA

$183K/yr

Collaborate with cross-functional engineering and research teams from Reality Labs (RL) in computer ... Participate in cutting-edge research in computer vision that can be applied to AR/VR product ...

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 ... A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU ...

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 ... A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead ... Demonstrated ability to lead large-scale engineering projects or device development from concept ...

Meta

Computer Vision Engineer

Bellevue, WA

$154K/yr

Explore, innovate, and leverage novel approaches, from internal and external sources, to improve ... Background in computer vision, classical image processing, and 2D/3D spatial data analysis

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From Home Computer Vision Postdoc information

What are some common challenges faced by remote Computer Vision Postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges such as limited access to lab hardware, potential isolation from peers, and coordinating collaborative research across time zones. To overcome these, postdocs can leverage cloud-based computational resources, schedule regular virtual meetings with their research team, and participate in online seminars or forums to stay connected with the community. Effective communication and proactive networking are key to maintaining productivity and collaboration while working from home.

What are From Home Computer Vision Postdocs?

A From Home Computer Vision Postdoc is a researcher with a doctoral degree who conducts advanced research in computer vision while working remotely, typically from home. These postdoctoral positions focus on developing algorithms and systems that enable computers to interpret and analyze visual information from the world, such as images and videos. Remote postdocs in this field often collaborate with academic institutions, research labs, or companies via digital communication tools. They may publish scientific papers, contribute to open-source projects, or assist in teaching while enjoying the flexibility of a work-from-home arrangement.

What are the key skills and qualifications needed to thrive as a From Home Computer Vision Postdoc, and why are they important?

To thrive as a From Home Computer Vision Postdoc, you need a PhD in computer science or a related field, with deep expertise in computer vision algorithms and research methodologies. Proficiency with programming languages like Python or C++, and experience using deep learning frameworks such as TensorFlow or PyTorch, are typically required. Strong analytical thinking, self-motivation, and effective remote collaboration skills help you excel in this role. These skills are crucial for conducting advanced research, publishing high-quality work, and contributing to collaborative projects in a remote academic or industry environment.
What cities near Federal Way, WA are hiring for From Home Computer Vision Postdoc jobs? Cities near Federal Way, WA with the most From Home Computer Vision Postdoc job openings:
From Home Computer Vision Postdoc jobs near you

Computer Vision Engineer

Meta

Seattle, WA

$183K/yr

Full-time

Posted 26 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 241 rated software companies

Job description

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virtual reality (AR/VR) products. RL has global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more. RL is committed to driving the state of the art forward through relentless innovation. Our XR Tech organization is focused on advanced research and development of machine perception technologies from early concepts to production level across all of Meta's AR/VR products and surfaces. These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial, Calibration and more.In this role, you will be researching and applying a range of software, computer vision, and machine learning techniques for solving challenges that bridge the virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, hand tracking, micro-gestures, eye tracking, 3D reconstruction, visualization, and tooling. In addition, there are opportunities to collaborate with researchers in Reality Labs Research (RLR).
Computer Vision Engineer Responsibilities:
  • Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment
  • Partner with cross-functional teams to ship ML models end-to-end, leveraging broad ML expertise to drive solutions from prototype to production
  • Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into the product
  • Collaborate with cross-functional engineering and research teams from Reality Labs (RL) in computer vision, machine learning, and graphics
  • Participate in cutting-edge research in computer vision that can be applied to AR/VR product development
  • Define and scope projects for other engineers, providing technical direction and success criteria

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years of industry experience in machine learning, computer vision, or related fields
  • Experience shipping ML models to production, including the full ML production cycle from development to deployment
  • Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation

Preferred Qualifications:
  • Industry experience working on projects such as: real-time Simultaneous Localization and Mapping (SLAM) and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation
  • Experience developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware)
  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc
  • PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
  • Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets, and/or custom hardware)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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