Computer Vision Engineer
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Job Location:
Monthly Salary:
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together. The Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.
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As a Computer Vision Engineer on this team youll work on solving some of our industrys toughest challenges and develop the next generation of wearable devices. We work on wearables and look to push the boundaries of what is possible. Working from our Vienna office you will be collaborating closely with other Snap hardware and software teams around the world.
What youll do:
Contribute to state-of-the-art tracking / SLAM algorithms
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
Work with our computer vision team to deliver next-generation detection (such as face hand body etc.) technology for augmented reality systems
Knowledge Skills & Abilities:
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
Ability to transform ideas into clean fast and reliable code
Attention to detail strong desire for quality and good communication skills
Outstanding problem solving skills
Minimum Qualifications
BSc/MSc with 3 years of relevant experience from industry in a relevant engineering discipline (e.g. computer science mechatronics mathematics robotics ...)
Experience with SLAM or visual tracking systems
Track record of successful projects showing computer vision skills
3 years of programming experience in C
Preferred Qualifications
Masters PhD or industrial experience in a relevant engineering discipline
Experience with non-linear optimization Kalman filtering State-estimation
Experience in implementing high-performance computer vision algorithms
If you have a disability or special need that requires accommodation please dont be shy and provide us some information.
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.
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.
Key Skills
- Graphic Design
- Indesign
- Camera Projection
- Colour Correction
- Computer Graphics
- Proprietary Software
- Windows
- Coversion Process
- Art Direction
- Visual Effects Management
- Adobe Photoshop
- Proofread
- Layout
- AutoDesk Maya
- Matte Painting
About Company
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
