Senior Engineering Manager - Applied Machine Learning

Your Role

Our Applied Machine Learning (AML) team’s vision is to extract the right data and insights from video at the right time, then put them straight into the hands of our coaches, athletes, and fans. Our team builds new experiences and powers automation across Hudl—which serves 230K+ sports teams across 40+ sports from high-schools to 11K+ professional teams. This is only the start of our journey. Our team builds services with computer-vision & deep-learning components, deployed to the cloud and our Focus cameras (edge). 

We’re looking for a Senior Engineering Manager to directly manage and lead a team of Applied Scientists and Engineers to deliver AI/ML solutions at scale that provide the best experience to our customers. This role combines technical expertise, management skills, product focus, and business understanding to deliver ambitious solutions that move the needle for our customers and Hudl.

As a Senior Engineering Manager, you would: 

• Develop and manage a research agenda, that balance between short-term deliverables with measurable business impact, as well as long-term investments.
• Set Direction. Define a long-term vision and direction, driven by our customers' needs, translating it into roadmaps, and foster collaboration across teams and business units to define and execute complex projects.
• Act as a technical supervisor. You’ll guide development efforts to maximize outcomes in your teams area.
• Hire and develop top talent. You’ll provide technical and career development guidance to Applied Scientists and Engineers across the organization.
• Innovate. Drive continued scientific innovation and advance the team's engineering craftsmanship as a practitioner and thought leader.

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

• Product focus. You have a proven track record of shipping impactful products.Management expertise: You’ve led teams of Applied Scientists and ML Engineers.
• System expertise. You have experience in building, maintaining, and monitoring complex AI/ML models and systems in production.
• Technical expertise. Extensive knowledge and practical experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, foundational models, real-time systems, and event detection.
• Communication skills. Excellent verbal and written communication, and can communicate complex technical concepts and solutions to all levels of the organization and diverse stakeholders.

Nice-to-Haves

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

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation