Senior Data Scientist (Applied Researcher)

At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces.  

We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.

Ready to join us?

Your Role

We’re looking for a Senior Data Scientist to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You’ll drive game-changing initiatives that use cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools.

As a Senior Data Scientist, your key responsibilities will include:

• Delivering for customers at scale. You’ll build, deploy, monitor and iterate on ML models and systems that scale across 40+ sports and to thousands of simultaneous sports matches.
• Project leadership. You’ll own projects that meet your team’s quarterly goals while delivering high-impact results for customers and the business.
• Collaboration. You’ll work closely with other teams and leaders to deliver your projects in small increments, resolve your cross-team dependencies, and ensure our products meet the highest standards.

For this role, we're currently considering candidates who live within a commuting distance of our offices in London. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves

• Technical expertise. You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. 
• System experience. You’ve built, maintained and monitored complex AI/ML models and systems in production at scale.
• A proven track record. You know …