About the Role
Dataspan.ai is building its founding generative AI team. We are looking for people who want to dive head first into the field of generative AI.
Your role entails following the latest research in the field & engaging with the research community to explore and implement new directions in generative AI which can lead to valuable capabilities for our customers.
Requirements
Your role entails following the latest research in the field & engaging with the research community to explore and implement new directions in generative AI which can lead to valuable capabilities for our customers.
Strong coding skills in Python and at least one of the libraries used for deep learning (PyTorch / Tensorflow).
Ability to write and maintain high quality code on your own and in a team using version control software like git.
Familiarity with Linux, bash, and cloud computing ecosystems (AWS, Azure, or Google Cloud).
PhD/MSc and/or previous research experience with deep learning in the context of unstructured data (i.e. publications at top-tier conferences in computer vision, NLP, etc.).
Good grasp of modern neural network architectures and passion to stay on top of the latest research. Practical experience with generative AI and/or foundation models (GANs, VAEs, diffusion models, etc.).
Strong analytical and problem solving skills with the ability to transfer academic papers and ideas into functional prototypes to open up new capabilities for our customers.
Desire to mentor and coach team members interested in generative AI.
About dataspan.ai
Dataspan.ai is changing the way computer vision applications are being built.
Joining us at this early and exciting stage means you will get the opportunity to influence and shape our research capabilities and team going forward. Your working culture and style will become part of our DNA!