Applied Research Scientist, AI (Senior / Staff / Principal)

Applied Research Scientist, AI (Senior / Staff / Principal)

City of London

Permanent

On Site

Opportunity for Applied Research Scientist to develop EdTech Machine Learning.

Job Description

As an Applied Research Scientist, you will be an innovator and expert at exploring and solving some of the most complex problems at the cutting edge of digital learning using state-of-the-art AI technologies. You will be tasked with identifying and tackling complex problems surrounding digital product development to ultimately impact and advance BYJU'S product evolution.

To be effective in this role, you will need to have a deep understanding of AI technologies, strong problem-solving skills, and the ability to work effectively with engineers, project managers, and other researchers to innovate BYJU'S products. A deep understanding of AI is needed to identify impactful problems, propose effective solutions, and influence the direction of fundamental research. Depending on your scope, you may be required to lead and motivate other scientists or engineers to develop workstreams and product concepts.

Senior candidates could support or build a team of world-class AI researchers and ML engineers while leveraging their deep AI knowledge to build zero to one projects.

The Successful Applicant

All industry backgrounds are encouraged to apply; the key desire is wanting to make a difference to our younger generation and present an opportunity to give something back for social good.

Candidates should have experience in some of the following:

1. Masters or Ph.D. degree in computer science, or related technical, math, or scientific field.
2. Strong knowledge and experience in applied research in AI, including but not limited to NLP, computer vision, reinforcement learning, recommender systems, or AI product development.
3. Strong knowledge of foundational concepts in machine learning and AI.
4. Ability to identify high-impact problems and execute complex research and development projects in AI, end-to-end, preferably shown by a proven track record of significant product impact using advanced AI technologies.
5. Hands-on experience in building models with deep learning frameworks such as PyTorch, TensorFlow, or similar.
6. Fluency in at least one programming language, preferably Python.
7. Strong written and oral communication skills to communicate effectively internally within and between organizations.

Nice to Have

1. Track record of publications in top-tier venues such as NeurIPS, ACL, ICML, EMNLP, CVPR, ICCV, etc.
2. Open-source contributions, especially in the space of AI.