Researcher in artificial intelligence

Key Skills

C Programming, C++, Computer Vision (CV), Data structuring, Deep Learning, English Proficiency, French Canadian Language, French language, Large scale data processing, Machine learning techniques, PyTorch, TensorFlow

Job Description

We are the leaders in sports analysis. Thanks to our advanced technological resources, such as artificial intelligence, we are able to produce precise sports data. It also allows us to provide performance reviews. These ratings offer several benefits to teams, sports leagues, the media, sports betting managers and rights holders of all stripes. Our varied techniques allow us to collect and analyze data relating to sports. Thus, our partners from different backgrounds will discover contextualized evaluations and will make these evaluations profitable in many ways.

As an artificial intelligence researcher, you will be part of an exceptional, talented and innovative team. You will have to develop large-scale and large-scale technological solutions. These solutions will be applicable in a tangible way. By working with us, you will have access to extensive databases; powerful tools – technological and cloud computing – for data processing; to data annotation services capable of amassing all types of data needed. All this will allow you to design revolutionary artificial intelligence models applicable to the analysis of sports data.

By joining our team, you will have the opportunity to have the results of your research published in specialized and world-renowned journals in the field of artificial intelligence research. You will be able to participate in conferences all over the world with reputable organizations such as: CVPR, ICCV, ECCV, NeurlPS, ICLR, ICML to name a few.

To be able to complete your tasks successfully, you will need to be able to learn quickly. You will have to manifest a thirst for new knowledge, which will broaden your horizons. You will have to flourish in a dynamic environment in which theory and practice coexist. In this environment, you will evolve in a collaborative framework and you will work on the development of systems. You will play a leading role in the future of sports data analysis, betting, sports training and media storytelling techniques.

WHAT YOU WILL DO:

Work in the research and development of advanced technologies to enhance our machine learning and computer vision algorithms. This will solve sports data analysis problems in a practical and measurable way. The research will focus on:

• Computer vision (object detection, camera calibration, automatic tracking, motion capture, motion detection, motion prediction, etc.);
• Sequence modeling, forecasting and time series modeling, probabilistic models;
• Several topics related to deep learning (self-supervised learning, transfer learning, learning with few attempts or examples, active learning, generative models, neural networks in graphs, the modeling of attention mechanisms, so-called transformers. 
• Collaborate with the engineering team and with production managers to create superior artificial intelligence software;
• Evaluate the experiments carried out by the team as well as the codes created by this same team to offer constructive feedback;
• Conduct innovative research, the results of which could be published or presented at conferences and added to the directory of intellectual properties maintained by Sportlogiq.

YOU WILL NEED :

A PhD in Computer Science, Computer Engineering, Electrical Engineering, Quantitative Research or any related field AND experience in research and development in the field of machine learning and computer vision;

Experience on all stages of tool design in the field of machine learning and computer vision:

From the development of the initial model, through training, experiments, deployment, supervision, finishing and until the reiteration of the process;

• Experience with deep learning systems (for example: Pytorchor Tensorflow);
• Excellent programming skills in C/C++ and knowledge of software development best practices;
• For having published several articles on computer vision, machine learning and deep learning. And this, in recognized and prestigious publications;
• The ability to build large-scale systems, systems that will work from visual data;
• A great knowledge of software structure and data structure;
• Excellent ability to express yourself in French and English.

WHAT WE OFFER

• A competitive salary;
• The flexibility of working hours;
• The possibility of having bonuses;
• Many benefits;
• A working atmosphere that promotes fun and collaboration.
• The possibility of carrying out innovative research, the results of which could be published or presented at conferences;
• Access to extensive databases; to powerful data processing tools – technological and cloud-based – and everything you might need to do large-scale modeling in machine learning and computer vision.
• The possibility of doing research in collaboration with our high-level university network.