AI Research Scientist

Are you a senior AI researcher who thrives at the intersection of cutting-edge computer vision and real-world impact? Do you combine deep research expertise with the engineering instincts to ship models that work in production? Join the Content team within Pixellot’s AI group, where you’ll lead applied research initiatives that transform how sports content is created and experienced.

This is an applied research role with a strong ownership mandate - you’ll drive the full research lifecycle from problem framing and experimental design through to production integration.

At Pixellot, we are dedicated to revolutionizing sports production. Our AI-powered solutions automatically capture sports events and transform them into personalized content, turning key moments into engaging experiences for players, teams, and fans. As a Senior AI Research Scientist, you will have direct impact on the company’s innovation roadmap, leading core AI capabilities that power our platform at scale.

As Part Of Your Role, You Will

• Own the research lifecycle end-to-end: problem definition, literature review, experimental design, model development, evaluation, and production integration.
• Design, implement, and evaluate state-of-the-art deep learning models for computer vision tasks including detection, tracking, event recognition, and temporal modeling in video.
• Drive applied research projects with clear product impact — not just experimentation, but shipping models that run reliably in production.
• Collaborate closely with ML engineers, infrastructure engineers, and QA to ensure smooth model integration and performance in real-world conditions.
• Contribute to Pixellot’s research culture: present findings internally, propose new research directions, and stay at the forefront of computer vision and deep learning.
• Influence architectural decisions around model design, data pipelines, and evaluation frameworks.
  
  

• M.Sc. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or an equivalent field (A Must).
• 5+ years of hands-on experience in applied computer vision research and development, with a clear track record of delivering results.
• Deep expertise in deep learning - strong theoretical foundations and practical mastery of model training, evaluation, and debugging.
• Strong proficiency in Python and PyTorch (or equivalent frameworks); comfort reading and writing production-quality code.
• Proven experience working with real-world video data: preprocessing, annotation pipelines, training at scale, and production deployment.
• Ability to work independently, set your own research agenda, and drive projects to completion with minimal guidance.
• Strong communication skills - ability to explain research decisions to both technical peers and non-technical stakeholders.
  
  

• Experience with video understanding tasks: action recognition, temporal modeling, multi-camera setups, or sports analytics.
• Experience training Vision-Language Models (VLMs).
• Familiarity with model optimization techniques for inference.
• Publications in top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, or equivalent).
  
  

• Work on research that ships - your work directly powers a platform used by thousands of sports organizations worldwide.
• Own your domain. Senior scientists at Pixellot have genuine influence over research direction, not just execution.
• Work alongside top-tier AI researchers and engineers in a collaborative, intellectually rigorous environment.
• A culture that values curiosity, craftsmanship, and continuous learning - where raising the bar is the norm.