Machine Learning Engineering Manager

Hudl • Lincoln, NE

117d • £99,000 - £124,000 • Remote

About The Position

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?

Requirements

• Leadership experience supporting a team of 5-10 individual contributors.
• Experience in building, maintaining, and monitoring complex AI/ML models and systems in production at scale.
• Extensive experience in machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, LLM's models, real-time systems, and signal processing.
• Excellent verbal and written communication skills to convey complex technical concepts across all levels of the organization.
• A proven track record of delivering impactful AI/ML products through close collaboration with partners.

Nice To Haves

• Experience using AI/ML in sports to generate data and/or create insights.

Responsibilities

• Independently manage a multidisciplinary team of 5 to 10 Engineers and Data Scientists, ensuring quarterly and annual goals are met.
• Work closely with other teams and leaders to deliver projects in small increments and resolve cross-team dependencies.
• Set high standards for architecture, code quality, and system health, guiding the team in building resilient, cost-effective solutions.
• Build and maintain an environment where the team is supported, engaged, and able to operate at their highest potential.
• Provide technical and career development guidance to Applied Scientists and Engineers across the organization.

Benefits

• Flexible vacation time above any required statutory leave.
• Company-wide holidays and timeout (meeting-free) days.
• Remote work options.
• Medical and retirement benefits depending on location.
• Employee Assistance Program and employee resource groups to support mental health.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Publishing Industries
• Number of Employees: 5,001-10,000 employees