As part of your role, you will:
- Conduct cutting-edge research and develop novel AI algorithms, with a focus on Large Language Models (LLMs), Vision-Language Models (VLMs), and Retrieval Augmented Generation (RAG) techniques.
- Design, implement, and evaluate deep learning models for various applications, including advanced computer vision tasks.
- Contribute to the entire research lifecycle, from theoretical exploration and experimental design to proof-of-concept development and integration into our products.
- Collaborate closely with cross-functional teams, including engineers and product managers, to translate research prototypes into robust and scalable solutions.
- Stay abreast of the latest advancements in AI research, contributing to publications and internal knowledge sharing.
- M.Sc degree from a prominent academic institute in a relevant field (e.g., Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or equivalent).
- Proven industry or research experience with Large Language Models (LLMs), Vision-Language Models (VLMs), and Retrieval Augmented Generation (RAG) systems.
- Strong theoretical and practical understanding of deep learning, particularly for computer vision tasks.
- Excellent programming skills, with strong proficiency in Python.
- Hands-on experience with deep learning frameworks such as PyTorch.
- Familiarity with the HuggingFace Transformers library and ecosystem.
- Demonstrated ability for independent research, problem-solving, and self-learning.
- Experience with deployment of AI models to production environments.
- Familiarity with other deep learning platforms (e.g., Pytorch, Keras).
- Be part of a pioneering company that is transforming the way the world watches sports.
- Work on cutting-edge AI research with the opportunity for significant real-world impact.
- Join a team of top-tier AI researchers and engineers in a collaborative and intellectually stimulating environment.
- Take ownership of challenging research problems and see your work come to fruition in innovative products.
- Thrive in a culture that values curiosity, creativity, and continuous learning.
Join the Team!
If you're excited about pushing the limits of AI, specifically with LLMs, VLMs, and computer vision, and want to be part of a passionate, collaborative, and talented team that’s leading the future of AI — we’d love to meet you.
Top Skills
What We Do
Today, millions of sporting events take place annually; however, 99% are not broadcast. These events range from local youth and women’s sports to lower leagues in popular sports and even professional leagues in niche sports.
Pixellot’s automated sports production solutions revolutionize traditional video capture, production and distribution processes, enabling professional and amateur sports organizations to affordably cover and monetize their events.
Pixellot’s technology streamlines the production workflow by deploying an unmanned multi-camera system in a single fixed rig (with additional angles as required), covering the entire field and delivering a stitched panoramic image. Advanced auto-production mechanisms track the flow of play, identify highlights, create replays and insert advertisements without human intervention. Pixellot's analytics and video editing platform Vidswap allows coaches to save time by breaking down games and get detailed game, team and players stats 4 hours after the game is over.
Over 25,000 Pixellot systems have been sold to production companies, sports portals, sports federations, leagues, clubs, venues, and coaching solution providers around the world, including the US, China, Germany, Spain, Netherlands, France, UK, Japan, Singapore, Mexico, and other markets
