AI Researcher / Researcher in artificial intelligence

We are the world's sports analytics leader, using cutting-edge AI technology to produce unique sports data and performance insights. These insights provide an edge to teams, leagues, media organizations, betting operators, and rights holders of all sizes. We use a variety of techniques to collect and analyze sports data, allowing our partners to discover contextual insights and derive value from them in brand new ways.

As an AI researcher, you will be a part of our highly talented innovation team, developing solutions used in real-world applications at massive scale. Working at Sportlogiq, you will have access to massive datasets; significant in-house and cloud processing power; and data annotation services to collect any type of additional data you need; to design your game changing AI models for sport analytics applications.

Being part of our innovation team, you will also have the opportunity to publish original research in peer-reviewed journals and participate in conferences around the world, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, and more.

To be successful in this role, you must be a fast learner with lifelong commitment to expanding your knowledge. You should be able to thrive in a dynamic environment that combines theoretical and applied research, systems building and collaborative work. This is a unique opportunity to shape the future of sport analytics, coaching, media storytelling and betting.

What you will be doing:

Research and develop advanced AI technologies to improve our core ML/CV algorithms and to solve sport analysis problems in a practical and scalable way. Our research focus includes (but is not limited to) the following:

• Computer vision (object detection, camera calibration, tracking, re-identification, motion capture, activity detection, activity prediction, etc.)
• Sequence modeling, time series modeling and prediction, probabilistic models
• General deep learning topics including self-supervised learning, transfer learning, few-shot learning, active learning, generative models and graph neural networks, attention based models (transformers)
• Collaborating with engineering team and product managers to produce quality AI software solutions as well as reviewing the team's code and experiments to provide insightful feedback
• Conducting original, publishable research, to be presented at conferences and contributing to the company's IP portfolio

What you’ll need:

• PhD degree in computer science, electrical/computer engineering, or a related quantitative field with research and development experience in computer vision and machine learning
• Experience with full CV/ML life‑cycle from model development, training, testing, deployment, monitoring, and refining and iterating
• Experience with deep learning frameworks (eg, Pytorch or Tensorflow)
• Solid programming skills in Python or C/C++ and familiarity with software development best practices
• Strong publication record in computer vision, machine learning and deep learning in top tier conferences and journals
• Ability to develop large‑scale systems working with video/image data
• Strong working knowledge of software architecture and data structure

What we offer:

A comprehensive compensation package, including competitive salary, bonuses and comprehensive benefits program

Access to massive processing power, data, and whatever you may need to train large scale ML/CV models

A cooperative and fun work environment, supportive leadership for your personal growth. We care about seeing each other reach full potential

Flexible work schedule

Freedom to publish the research work

Collaborative research with our world class academic network

We are the leaders in sports analytics. Using our cutting‑edge technological resources, such as artificial intelligence, we are able to produce accurate sports-related data. This also allows us to provide performance reviews. These ratings provide several benefits to teams, sports leagues, media, sportsbooks and rights holders of all kinds. Our varied techniques allow us to collect and analyze sports data. Thus, our partners from different environments will discover contextualized evaluations and make these evaluations profitable in multiple ways.

As an artificial intelligence researcher, you will be part of an exceptional, talented and innovative team. You will have to develop large‑scale, large‑scale technological solutions. These solutions will be tangibly applicable. By working with us, you will have access to extensive databases; powerful technological and cloud computing tools 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 sports data analysis.

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

To be able to successfully complete your tasks, you will need to be able to learn quickly. You will demonstrate 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 coaching and media storytelling techniques.

What you will do:

Work in the research and development of cutting‑edge 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, graph neural networks, the modeling of attention mechanisms, what we call transformers .
• Collaborate with the engineering team and production managers to create high-quality artificial intelligence software;
• Evaluate the experiments carried out by the team as well as the codes created by this same team to provide constructive feedback;
• Conduct innovative research whose results could be published or presented at conferences and added to the intellectual property directory maintained by Sportlogiq.

You will need:

A doctorate 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:

Starting 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: Pytorch or Tensorflow);
• Excellent programming skills in C/C++ and knowledge of best practices in software development;
• To have published several articles on computer vision, machine learning and deep learning. And this, in recognized and prestigious publications;
• The ability to develop large-scale systems, systems that will work from visual data;
• Great knowledge of software structure and data structure;
• Excellent ability to express yourself in French and English.

What we offer:

• A competitive salary;
• Flexibility of working hours;
• The possibility of having bonuses;
• Numerous social benefits;
• A working atmosphere that promotes pleasure and collaboration.
• The possibility of carrying out innovative research whose results could be published or presented at conferences;
• Access to vast databases; powerful data processing tools – technological and cloud computing – and everything you might need to do large-scale modeling in machine learning and computer vision.
• The opportunity to do research in collaboration with our high-level university network.