Computer Vision Engineer


Mainstream fitness formats are a primitive solution to the modern problems of a sedentary lifestyle. At, we are merging gaming and fitness to change the way people workout. Imagine playing Mario - but instead of using a joystick, you move around to control the gameplay, do exercises to battle monsters, and complete missions by doing workouts! Using Augmented Reality, we are creating unique fitness experiences at the bleeding edge of technology. Our vision is to build a platform that enables shared virtual fitness experiences, or the fitness metaverse, powered by our technology.

Join us and you'll help build the future of fitness.

Position Summary

Are you passionate about building computers that can see? Our computer vision and AR pipeline uses deep learning on the edge to detect human pose, segmentation, depth, floor plane etc. As a CV/AR engineer, you will be responsible for building the sensing layer, interactivity features to improve the workout experience, and AR filters to generate cool videos.

Major responsibilities

  • Design, develop and maintain production computer vision systems that are used to enhance’s capabilities for the delight of our users.

  • Collaborate cross functionally with products, operations and other engineering teams to ship advanced computer vision solutions to enable new AR experiences.


  • 1+ years of hands-on experience in computer vision and deep learning projects to solve real world problems involving vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation etc.

  • Deep insights into data characteristics and ability to map those to appropriate model architectures

  • Working knowledge of SOTA techniques in CV, ML and Deep Learning in particular

  • Strong Python programming skills and understanding of deep learning frameworks and workflows

We’re looking for candidates with 1+ years of relevant experience or extensive projects. Please write to with your resume and Github.

What to Expect

When you join Insane AI, expect to be a part of a small and selective group of highly motivated folks. You will work directly with the founding team. We offer high autonomy and expect ownership of results in return.

Once the pandemic lifts we will work flexibly, combining working from home and in the office. Only candidates who can work in our Bangalore office a few days a week will be considered.

Our office has a training area, a gaming area, and a reading area.