Applied Research Engineer - Computervision - Object & Pose Est

London Permanent
  • Computervision Research Engineer - Applied Projects
  • Applied Computervision Scientist / Engineer

About Our Client

Page Group are delighted to be partnering with the world's most valuable multi-national EdTech Unicorn business, BYJUS.

Within a decade of its launch, BYJUS 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. BYJUS are looking to revolutionise the digital learning pathways for children all over the world.

Job Description

Reporting into the research principal, you will be working as part of a growing research team dealing with some complex and challenging problems which will truly impact their EdTech product capability.

As a specialist in Computervision you will research, manage and develop approaches to their classroom technology and support development of product capability centred around student engagement, understanding and feature development. You will lead on projects in the areas of:

  1. Multiple object tracking.
  2. Video instance segmentation.
  3. Occluded video instance segmentation.
  4. Pose estimation tracking.

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 BYJUS products. A deep understanding of AI and Computervision is needed to identify impactful problems and propose effective solutions and influence the direction of our capability. Depending on your scope, you would be required to lead and motivate other scientists or engineers to develop workstream and product concepts.

The Successful Applicant

Applied Research Scientist / Engineer - Computer Vision field

Candidates should have experience in some of the following:

  • Masters or Ph.D. degree in computer science, or related technical, math, or Computervision field
  • Strong knowledge and experience in applied research and/or engineering in one or more of the following computervision areas:
    1. Multiple object tracking.
    2. Video instance segmentation.
    3. Occluded video instance segmentation.
    4. Pose tracking.
  • Being able to identify high-impact problems and execute complex research and development projects in Computervisionn
  • 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



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. BYJUS 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!

Contact
Michael Warren
Quote job ref
JN-102022-5786874

Job summary

Function
Digital
Subsector
Digital Subsector
Industry
Technology Media & Telecoms
Location
London
Contract type
Permanent
Consultant name
Michael Warren
Job reference
JN-102022-5786874

About Page Executive

Page Executive are inclusive Recruiters and Hirers, as reflected in our Clear Assured Gold Standard Accreditation from the Clear Company. We are passionate about attracting diverse talent and are committed to ensuring our processes are inclusive and supportive.