About Omi
Omi’s mission is to bring the power of video to all businesses. Video is a universal langage that the human brain understands 36 000 faster than text, but is complex to produce because its requires time, creativity and resources. However, when a company communicates on video it reaches more people, increases its awareness more quickly and develops its sales by spreading its message more easily. We are building Omi to break down the barriers of video and support large and small businesses in telling their stories by offering them an intuitive, efficient and transparent video platform.
Highlights from the past 3 months:
- Launched Omi V1
- Raised €1 million pre-launch with top VC, Business Angels and Industry Leaders;
- Kicked-Off regional business partnerships with Facebook and Instagram;
- Worked with some of the most exciting French brands and startups;
- Delivered advertising videos for TV on TF1, M6, FranceTV networks.
Through our platform, we're building a technology that leverages Augmented Reality to give businesses ways to create tailored made videos for all their objectives and needs and tell their stories at scale. As a part of that mission, we are pioneering the future of video, and we need a Computer Vision Engineer of the highest quality. Together, we can help businesses build stronger brands and grow — and we're just getting started.
Responsibilities
As a Computer Vision Engineer at Omi, your responsibilities and missions will be :
- Own, design and develop learning and video processing pipelines (video features detections, video processing for AR integration…)
- Aggregate and analyze complex data sets across multiple sources to improve AR product integration process;
- Build and maintain data driven optimization models, experiments, forecasting algorithms, and machine learning models to automate 3D products integration in video
- Plan and execute cutting-edge development to advance the state of the art in machine perception, mapping, reconstruction and localization, as well as 3D scene understanding across optical/inertial/acoustic sensing systems
- Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale, long-duration sensing and machine reasoning
Minimum Qualifications
For this role, the minimum qualifications are :
- BS, MS or PhD Degree in Computer Science, Computer Vision, or similar domain.
- 3+ years of experience working in an analytics organization
- Proficiency in statistics (e.g., hypothesis testing, statistical inference, regressions, ML systems)
- Experience in Data Science pipeline developments in the video treatment field
- Experience in defining problems and identifying new opportunities in a complex area
- Experience working independently and as a member of a cross-functional team to share and learn
- Proficiency in computer vision algorithms in general
Preferred Qualifications
- Previous experience at a video or at a gaming company is a plus
- Proven experience in the AR field is a plus
- Write clean, reusable and optimized code
- 3D engine experience
- Able to thrive in a dynamic environment where goals and requirements may be changing
- Experience with cloud computing services
Whether we're creating new products or helping businesses explore the power of video, people at Omi are builders at heart. Our team is constantly iterating, solving problems, and working together to empower businesses around the world to make their voices heard. Come join our teams creating the future of video !
Omi is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
