Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,300,268)

Job Information

Meta Computer Vision Engineer in Zurich, Switzerland

Summary:

The Reality Labs team at Meta is looking for Computer Vision Engineers to support our engineering teams as we build towards our goal of helping more people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR and VR potential to change the world is immense -- and we're just getting started.Meta is building the Metaverse, the "spatial internet" where immersive virtual worlds will coexist with the real world. Augmented and Mixed reality will transform the way people come together to interact, work and play. By developing new hardware and software products capable of understanding the real world and the user within their environment, we aim to make it possible for people to interact with content in their environment and share it with others.Our Reality Labs division explores, develops and delivers cutting-edge technologies that serve as the foundations for the Metaverse and other future Reality Labs products, such as Oculus headsets, future AR glasses and our FB Family of Apps (Messenger, Instagram, WhatsApp). From Visual Localization, SLAM, 3D reconstruction, Context/Semantic Understanding, Mapping, Tracking, and Sensor Fusion, our team is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.Do you have a passion for exploring and solving challenging computer vision and machine learning problems? Do you love solving novel problems from first principles, or delivering SOTA technologies into products used by millions of users? Are you always on the lookout for better, faster, and more efficient solutions? Do you want to help build the core technologies that will enable the Metaverse?We encourage you to apply and join us!

Required Skills:

Computer Vision Engineer Responsibilities:

  1. Lead the design and development of novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding, as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons.

  2. Play a critical role in the definition and execution of long-term roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon.

  3. Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production.

  4. Be a go-to person to escalate the most complex online / production performance and evaluation issues that require an in depth knowledge.

  5. Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products.

  6. Participate in cutting edge research in computer vision that can be applied to AR/VR product development.

  7. Define projects for other engineers to possibly solve and achieve impact based on your direction.

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

  2. Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence

  3. Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python

Preferred Qualifications:

Preferred Qualifications:

  1. MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.

  2. Experience with distributed systems or on-device algorithm development

  3. Experience in deep learning and PyTorch

  4. Industry experience working on projects such as: real-time 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, generative methods such as GANs, or photorealistic rendering

Industry: Internet

DirectEmployers