Snap Inc.
We're Hiring!
Offices at Snap Inc.
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
Our “default together” approach is an 80/20 model where we are asking team members to spend 80% of the time, on average, in the office, with the remaining 20% of the time spent remote.
Typical time on-site:
4 days a week
Global Office Locations
London, England
London, United Kingdom
Recently posted jobs
As a Machine Learning Engineer, you will develop computer vision algorithms for 3D human body and face reconstruction, and generative AI systems for image and video generation to enhance Snap Inc's AR tools. This role involves innovation, collaboration, and mentorship within a research-oriented team.
As a Machine Learning Engineer Manager, you will lead a team focusing on generative AI technologies, developing tools for image, video, and AR content generation. Key responsibilities include driving technical roadmaps, implementing scalable solutions, innovating product features, and collaborating across teams to enhance user experiences.
The Machine Learning Engineer will develop ML-tools and products for Snapchat, focusing on augmented reality experiences using advanced models. Responsibilities include creating GenAI experiences for edge devices and collaborating with teams to launch new products.
