Applied Researcher

Hudl; City of Westminster; Hybrid; GBP 68,000 - 85,000; Full time

Job summary

A sports technology company in the UK seeks an Applied Researcher to enhance sports experiences through advanced computer vision and deep learning techniques. You will be responsible for developing scalable ML models that impact athletes and coaches across multiple sports. Ideal candidates possess strong communication skills and a growth mindset. The position offers a competitive salary range from £68,000 to £85,000 and flexible working arrangements to support work-life balance.

Benefits

Flexible vacation time

Professional development resources

Medical and retirement benefits

Qualifications

• Extensive experience in computer vision and deep learning.
• Track record of delivering impactful AI products.
• Ability to communicate technical concepts clearly.

Responsibilities

• Build, deploy, and monitor ML models for various sports.
• Collaborate with Data Scientists and Engineers to deliver solutions.

Skills

Computer vision (classical and deep learning)

Multi-view geometry

Multi-object tracking

Event detection

Anomaly detection

Strong communication

Growth mindset

Tools

Real-time systems experience

Large language models

Embedded systems

Job description

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 an Applied Researcher 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 an Applied Researcher, 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.
• Collaboration. You’ll work on a cross-functional team with Data Scientists and Engineers to deliver end-to-end solutions for our customers.

For this role, we’re currently considering candidates who live within a commuting distance of our office 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.
• A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners.
• Strong communicator. You can easily and clearly express yourself. You’re able to convey technical concepts and trade-offs to cross-functional stakeholders.
• Growth mindset. You’ve picked up new technologies and domains on the job. You appreciate ambiguous work that has many possible implementation options because it gives you the chance to identify the best solution, while balancing quality, consistency and value to customers.

Nice-to-Haves

• Sports industry experience. If you’ve used AI/ML in sports to generate data and/or create insights, that’s a plus.
• Real-time experience. You know how to work with ML models for real-time and low latency systems.
• Foundational models knowledge. You’ve fine-tuned visual language models or large language models for new domains and know how to apply them to novel GenAI applications.
• Embedded experience. When it comes to optimizing, deploying and monitoring ML models for SoCs e.g. Nvidia, Qualcomm, etc., you know how it all works.

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.

Our compensation decisions are 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.

Base Salary Range£68,000—£85,000 GBP## Inclusion at Hudl

Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we’ll create an environment where everyone, no matter their differences, feels like they belong.

We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there’s ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports.

We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.

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