AI insights + over 600 years of NFL expertise.
Palm Beach, Florida
SūmerSports is reshaping how professional and collegiate sports teams construct their rosters. Our top-tier data-driven platform empowers teams with invaluable insights and tools to make informed decisions while adhering to salary cap constraints. The platform will also service the NCAA, offering insights and recommendations around the transfer portal and much more. What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel like John Idzik and Mike Mayock, who have a combined over 600 years of NFL experience. This unparalleled domain knowledge is seamlessly augmented by AI and machine learning technologies. Elevate your team's performance today with SūmerSports – where cutting-edge analytics converges with decades of real-world NFL experience, empowering you to outsmart the competition.
Remote · Canada, United States
You will lead the entire modeling lifecycle, from problem definition through evaluation to production, while driving flagship modeling threads. Additionally, you will mentor mid-level engineers and collaborate with subject-matter experts to design experiments and build robust research infrastructure.
Remote · Canada, United States
The Senior Data Scientist will design and implement rigorous evaluation systems for football machine learning models to ensure accuracy and reliability. They will build experimentation tooling and collaborate with subject-matter experts to validate model performance before production deployment.
Remote · Canada, United States
You will design, build, and maintain robust data pipelines for ingestion, transformation, and orchestration to support AI and analytics applications. You will also collaborate with ML/AI teams to develop retrieval pipelines and ensure data reliability, scalability, and compliance.
Remote · Canada, United States
Develop and train computer vision models for sports video analysis, including detection, tracking, and action recognition. Collaborate with cross-functional teams to productionize models and ensure scalable, reliable performance.
Remote · Canada, United States
Design and operate scalable ML infrastructure, including data pipelines, training workflows, and production model serving. Ensure system reliability, observability, and security while collaborating with research scientists to streamline the deployment process.
