Computer Vision Engineer
Computer Vision Engineer
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Job Description
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.
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.
The Spectacles team is looking for a Machine Learning Engineer to join the AR team in London UK!
In this role you will be working on state of the art machine learning and computer vision technologies to straddle the boundaries between the real and the virtual world with the next generation of Snaps wearable computing devices. Working from our London office you will be collaborating closely with other Spectacles software and hardware teams around the world.
What youll do:
Develop and productise novel technologies for the next generation of wearable AR devices.
Explore and advance state-of-the-art machine learning and computer vision algorithms.
Develop and deploy machine learning models.
Work together with our cross-functional engineering and research teams in computer vision machine learning and AR engineering.
Knowledge Skills & Abilities:
Deep understanding of machine learning principles solutions and frameworks to develop networks and models for computer vision tasks
Ability to understand debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
Strong communications and interpersonal skills.
A genuine passion for learning new things and helping colleagues improve.
Minimum Qualifications
Bachelors Degree in a relevant technical field such as computer science or equivalent years of practical work experience
Extensive experience post-Bachelors computer vision/machine learning experience; or Masters degree in a technical field extensive experience of post-grad computer vision/machine learning experience; or PhD in a relevant technical field 4 years of post-grad computer vision/machine learning experience
Experience in developing machine learning models for at least one of the following areas: geometric scene understanding semantic scene reconstruction neural scene representation monocular depth estimation visual localisation
Preferred Qualifications
Msc/PhD in related field (Computer Vision Machine Learning)
Experience in integrating Machine Learning models into Augmented Reality solutions
Experience in neural network optimization (pruning quantization distillation) to deploy efficient models to resource-constrained devices.
Experience in geometric computer vision such as SLAM VIO Tracking multi-view 3D reconstruction Depth Estimation etc.
Experience with software development in C
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.
Employment Type
Full-Time
