About us
At Genei, we build AI systems that learn from human feedback. We’re a highly motivated and talented team of scientists and engineers building at the intersection of massive scale language modelling, reinforcement learning and AI alignment.
Our consumer product, Genei.io, delivers state of the art search and summarisation natural language processing to over 4,000 students and researchers worldwide. As the users interact with the app, our online learning algorithms adapt to provide the user with the optimal experience. The algorithms we’ve developed have massive potential outside of our consumer app, and we’re starting to offer them as a service to businesses, allowing them to leverage their users to improve their AI capabilities over time.
The role
Whilst the role is quite open ended and requires high levels of self motivation, a typical workflow might be:
- Read and understand the latest literature
- Use this understanding to come up with novel ways to improve Genei’s ML
- Design and run live experiments to test hypotheses
- Transform the findings of these into production code and features
What we’re looking for
The ideal candidate is someone who can demonstrate:
- A genuine passion for Genei’s research
- The ability to set goals and work independently towards them
We’d expect the following experience:
- 3-5 years experience working with large scale deep learning models and transformers
Strong candidates would have experience and interest in at least 1 of the following areas
- Reinforcement Learning applied to NLP
- Large distributed language model training
- Multimodal transformers on documents
Genei
