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

City of London Permanent
  • Opportunity for Applied Research Scientist to develop EdTech Machine Learning
  • Applied Research Scientist opportunities with a focus on Machine learning and AI

About Our Client

Michael Page is delighted to be working exclusively with the world's most valuable multi-national EdTech Unicorn business, BYJU'S.

Within a decade of its launch, BYJU'S have rapidly expanded to now cater to a large student community globally where it has a presence in over 120 countries, impacting millions of learners worldwide. The mission is to ultimately create better learning outcomes, for ALL students.

With a core set of digital products already creating a dent in the education arena the need and opportunity to further innovate and evolve those products to better support their user base is clear to see. BYJU'S are looking to revolutionise the digital learning pathways for children all over the world.

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 the state of the art AI technologies. Broadly, 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, and 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 and propose effective solutions and influence the direction of fundamental research. Depending on your scope, you would be required to lead and motivate other scientists or engineers to develop workstream and product concepts.

Senior candidates could support or build a team of world-class AI researchers and ML engineers but ultimately bring 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 presents an opportunity to give something back for social good.

Candidates should have experience in some of the following:

  • Masters or Ph.D. degree in computer science, or related technical, math, or scientific field.
  • 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.
  • Strong knowledge of foundational concepts in machine learning and AI.
  • Being able to identify high-impact problems and execute complex research and development projects in AI, end2end. Preferably, this is shown by a proven track record of significant product impact using advanced AI technologies.
  • Hands-on experience in building models with deep learning frameworks such as PyTorch, Tensorflow, or similar.
  • Fluent in at least one programming language, preferably Python
  • Strong written and oral communication skills to communicate effectively internally within and between organizations.

Nice to have:

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

What's on Offer

In return, you will have the opportunity to make a real impact in Tech for good and play a hand in evolving the educational landscape as we know it. BYJU'S is the largest EdTech company in the world. You will be working with terabytes of text, images and other types of data to solve real world problems.

Successful candidates will be offered an attractive salary and compensation package with excellent benefits.

Flexible working arrangements to be effective in your role! We have an office in Kings Cross, London and would welcome collaboration and team building to help our people achieve great things!

Michael Warren
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Job summary

Digital Subsector
Technology Media & Telecoms
City of London
Contract type
Consultant name
Michael Warren
Job reference

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