Deep Learning Researcher

AnyVision, Research · Full-time · Intermediate

About The Position

AnyVision Research UK is a world leading team of scientists and engineers that creates AI for the Real World. With deployments and clients spanning the globe, we are recognized as leaders in the fields of Face Recognition, Object Recognition, Object Detection and Visual Target Tracking. As we grow in scope and ambition in 2020, we invite highly motivated, world class Machine Learning researchers to apply to join us.

We are especially interested in talking to researchers who are excited about solving challenges and make an impact in the real world.

Our scientists have the opportunity to publish in leading conferences and supervise doctoral-level research with our academic partners. At AnyVision you will have the chance to combine the best of academic research with world-changing engineering in a diverse and flexible work environment.

The body research team is focusing on understanding people through person detection and recognition, human pose and skeleton estimation, tracking, action detection among other techniques.

This role will focus on developing state-of-the-art algorithms with the final goal of improving AnyVision’s product line. As a researcher you will:

-      Stay up to date with the recent advances in human body understanding, starting from person detection and pose estimation and finishing with the sky as your limit.

-      Design new networks and algorithms with a direct impact on multiple product lines.

-      Focus on developing state of the art networks performance-wise, but also efficient to be deployed on cloud and edge devices.

-      Improve the team and yourself through brainstorm, sharing ideas and code review.


You are:

a highly motivated individual with a rigorous, meticulous, and scientific approach to life. You should be comfortable working within a team when it suits the project at hand, but also be capable of working on your own if needs be. You are creative and passionate about researching new algorithms with an emphasis on real-life applications.

Must have skills:

-      MS or PhD degree in Computer Science, Computer Vision, Machine Learning, or related technical field

-      Background in object detection, pose estimation, action similarity, and semi-supervised learning

-      Publication track record in major (i.e. A/A*, Tier 1) computer science conferences

and journals e.g. NIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV.

-      2+ years of experience programming in Python and/or C++.

-      2+ years of experience in deep learning frameworks, preferably PyTorch.

Desirable skills:

-      Knowledge on distributed learning and/or graph neural networks.

-      Familiarity with Git Workflow and code review.

-      Model optimization techniques (compression, quantization, etc).

-      Experience with inference engines e.g. OpenVino, TensorRT.


Belfast, London or Europe.

The closing date for applications:

28th November 2020

Apply for this position