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.
Snaps camera supports real friendships through visual communication self expression and storytelling. Moving forward our camera will play a transformative role in how people experience the world around them combining what they see in the real world with all thats available to them in the digital world.
We are looking for a Computer Vision Engineering PhD or MS student to join our student worker program at Snap Inc!
What youll do
The Spectacles student employment is a full-time position for the duration of 3 to 6 months. We aim to offer students industry exposure and hands-on experience. Your start date is flexible and can be arranged together with the hiring manager. You will:
Research and develop advanced computer vision algorithms and enhance performance for Spectacles-specific challenges.
Implement and optimize computer vision technologies onto Spectacles.
Write clean and modular code. Test and iterate on algorithms/models to ensure robustness and efficiency.
Research novel CV/AR methodologies and publish results (Optional) or contribute to patents bridging academic innovation and product development.
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 understand debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
Ability to collaborate with other engineers and across different teams
Minimum Qualifications
Currently enrolled in a MS or PhD program in a technical field such as Computer Science Electrical Engineering or a related field
You must be legally permitted to work in Austria as a student
Proficiency in programming Python/C
Research experience with machine learning / computer vision approaches in one or more of the following areas: Camera Calibration Sensor Calibration and Fusion Visual Inertial System Hand Tracking Object Tracking Visual SLAM Bundle Adjustment Depth Estimation 3D Scene Reconstruction Semantic Segmentation Motion Generation Stable Diffusion
Preferred Qualifications
PhD candidate in related fields (Computer Vision Machine Learning Robotics etc.)
Experience with integrating Machine Learning models into Augmented Reality solutions
Experience with 3D engines e.g. Lens Studio Blender Unity Unreal Engine
Have at least one first-author publication in a top conference (CVPR NeurIPS ECCV ICCV etc.).
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.
Required Experience:
Intern
We believe the camera presents the greatest opportunity to improve the way people live and communicate.