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Senior Data Scientist (Applied Researcher)

London, United Kingdom

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 how to focus on products, delivering impactful AI/ML products through close collaboration with partners.

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, and may be eligible for bonuses which are offered at Hudl's sole discretion.  Where a candidate is placed within this base salary range is determined by experience, skills, education and training required for the job as well as our internal pay equity.  Discretionary bonuses, if awarded, may include annual targets based on company performance and a long-term incentive award.

Base Salary Range

£67,000 - £107,000 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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We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010).

This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees.

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Individuals seeking employment at Hudl are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

The Regulation (EU) 2016/679 and the applicable national data processing regulations  (together, the “Applicable Legislation”) for candidates applying to the positions in the EU  give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information:

  1. Hudl Privacy Policy can be found at https://www.hudl.com/privacy .
  2. Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes.  Hudl’s headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site.
  3. Diversity information is defined by the DPA as “sensitive”.  The information you give will be held on both manual and electronic systems by Hudl.
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