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 market-competitive salary, bonuses and comprehensive advantages 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 diverse 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 wi

📌 AI Researcher (Montreal)
🏢 Sportlogiq
📍 Montreal