our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our AI photo and video generation models, which power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allow creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
What you will be doing
Conducting applied research, keeping in mind the constraints and requirements of real world solutions
Mentoring other researchers in your team and leading projects with multiple participants.
Working with engineers, designers and product managers to aim your research to the right place.
Keeping up with new research developments in academia and exposing them to all team members.
Writing high-quality code (aiming at production-grade) and maintaining efficient workflows in your research process, using best practices and tools.
Requirements: M.Sc with 4+ years of industry experience in computer vision (or equivalent)
Interest in working on applied problems and transferring their work to production
Demonstrated ability to generate new ideas and innovate within our domain of interest (computer vision, computational photography,...)
Research track record including main contributions to projects you can showcase (e2e projects from inception to production)
Highly independent and self learner
Strong applied math background
Soft skills: can-do attitude, team player, proactive, good communicator
Preferred Requirements
Ph.D in the domain
Research experience and familiarity with the literature in one of the our companys areas of interest.
publications in relevant fields
Interest/experience with computer graphics
Experience writing production-grade algorithms (with emphasis on efficiency & runtime)
Experience with running models on device (coreML, model conversions etc.)
Even if you do not fit the requirements as written but believe you are the right candidate for the position, do not hesitate to submit your candidacy.
This position is open to all candidates.