Summary
Join a team of around a dozen researchers specialized in generative models and deep learning to help build cutting-edge technologies for media creation and editing.
Requirements
- Proven experience in designing and implementing deep learning algorithms
- PhD or Master’s degree specialized in Deep Learning or equivalent experience
- Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects
- Good programming skills and experience with deep learning frameworks
- Ability to generate more ideas than you can implement
- Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient
- You wish you had more GPUs to run all the experiments that you wanted!
- You know Pytorch/Tensorflow inside-out
- At least one of the following must be true for the applicant to be considered
- Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc
- Played a key role in shipping a feature in production which uses deep learning as a key component
Responsibilities
- Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments
- Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks
- Contribute to designing the research roadmap of the company
- Train and mentor other members of the team
- Own the research function of specific product features
Benefits
- Generous healthcare package
- Catered lunches
- Flexible vacation time
