Staff Quality Assurance Engineer

Your Role

Our Applied Machine Learning (AML) team’s vision is to extract valuable insights from video and deliver them to coaches, athletes, and fans at the perfect moment; serving over 230K sports teams across 40+ sports, including 11K+ professional teams. We’re looking for a Staff Quality Assurance Engineer to deliver AI/ML solutions at scale by providing technical quality leadership for Quality Assurance Engineers, Software Engineers and Data Scientists across our 8 AML squads, as well as our QA chapter as a whole (spanning 50+ engineers!). This role blends a strong focus on quality in products and processes, technical expertise, and strategic steering. 

You priorities will include:

• Cross-team collaboration. You’ll work across departments to drive alignment on quality initiatives, ensuring scalable solutions meet long-term strategic objectives while also maintaining focus on immediate technical excellence.
• Proactive quality assurance. By anticipating quality risks and organizational needs, you’ll proactively identify and address potential obstacles to prevent defects before they arise.
• Strategic execution. You’ll own long-term quality and engineering objectives while ensuring day-to-day execution aligns with delivering high-quality, reliable and efficient solutions.
• Industry advancements. You’ll leverage technical expertise and industry insights to drive continuous improvement, ensuring our quality processes and frameworks evolve with technological advancements.

We'd like to hire someone for this role who lives near our office in London, but we're also open to remote candidates in the United Kingdom.

Must-Haves

• A problem-solver. You can identify and solve critical quality challenges autonomously to ensure we stay on track with roadmaps.
• Technical leadership experience. You’ll coach future leaders on technical quality, sharing best practices and fostering a mindset of innovation and excellence in software quality.
• Curiosity. You continuously scout emerging technologies and best practices to ensure you and your team are being efficient with product reliability.
• A global mindset. Our ML team is currently spread across the U.S. and Europe, so remote collaboration skills will be part of the job.

Nice-to-Haves:

• ML sports industry experience. If you’ve used AI/ML in sports to generate data and/or create insights, that’s a plus.

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

The base salary range for this role is displayed below—starting salaries will typically fall near the middle of this range.

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. 

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. 

Base Salary Range

£92,000 - £153,000 GBP

Inclusion at Hudl 

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