Computer Vision Engineer, AR
Snap Inc.
Vienna, AT
vor 4 Tg.
source : DirectEmployers Association

Snap Lab is home to the Spectacles brand and a world-class research & development team, working together to pave the way for the future of the camera - and innovating how creative computing will be overlaid on the world around us.

The Snap Lab Computer Vision Team works to solve some of the most important challenges on Computer Vision and Augmented Reality.

As a Computer Vision engineer at Snap Vienna, you will be working in a small team to write efficient code for our most exciting products.

We work on wearables and look to push the boundaries of what is possible. As a member of this team, you'll work on solving some of our industry's toughest challenges and develop the next generation of wearable devices.

We're looking for Computer Vision engineers to join the Snap Labs Computer Vision Team at Snap Inc!. You will collaborate with researchers, engineers, and designers and will develop algorithms to create exciting products and breakthrough interactive experiences.

Working from our Vienna office, you'll develop groundbreaking technology at Snap together with colleagues from our locations in Santa Monica (HQ), Venice Beach and Israel.

Below are some of the responsibilities of the job : What You will do + Develop novel features for the next generation of AR products+ Design, implement and integrate existing and new Computer Vision and Augmented Reality algorithms+ Research new techniques to improve speed, quality of existing algorithms for Computer Vision+ Contribute to state-of-the-art tracking algorithms+ Work with our computer vision team to deliver next-generation detection (such as face, hand, body etc.

technology for augmented reality systems Minimum Qualifications + BSc in Computer Science, Computer Graphics or equivalent industry experience+ Solid foundation in Computer Vision such as camera models, multi-view geometry and transformations+ Solid math background with understanding of 3D geometry, trigonometry and linear algebra+ Experience working with Machine Learning methods and frameworks such as PyTorch, TensorFlow, Caffe2 or related frameworks+ Experience with C++ and Python+ Ability to transform ideas into clean, fast and reliable code Preferred Qualifications + Experience in implementing high-performance computer vision algorithms+ Outstanding problem solving skills+ Team player with great communication skills, fluent in English The annual gross salary (38,5 hours / week) for this position is 42.

672 euros / year according to the collective agreement (IT-KV). We are offering a higher salary in line with qualifications and experience.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate.

Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

EOE, including disability / vets. If you have a disability or special need that requires accommodation, please don't be shy and contact us at accommodations-ext About Us Snap Inc.

is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate.

Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate.

Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

EOE, including disability / vets.If you have a disability or special need that requires accommodation, please don't be shy and contact us at accommodations-ext Applicant and Candidate Privacy Policy (https : / / and Candidate Privacy )

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