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Senior Engineering Manager - Applied Machine Learning

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Contract: 
Salary: 
73 - 135K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Proven track in impactful products, Experience leading AI/ML teams, Expertise in building/maintaining complex models, Knowledge in machine vision, deep learning.

Key responsabilities:

  • Define long-term vision and direction
  • Develop/manage research agenda with measurable impact
  • Guide team for maximum outcomes
  • Hire/develop top talent, drive innovation
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Hudl Large https://www.hudl.com/
1001 - 5000 Employees
See more Hudl offers

Job description

Building a team starts with valuing the team. 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 in 2023.

We also value sports. Not just because of the big wins and highlight-worthy plays, but because of the lasting impact sports can have: the lifelong lessons in teamwork and dedication; the influence of inspiring mentors; the priceless opportunities to play at the next level. Sports can change lives—that’s what we value.

Our team helps the world see sports differently through products that make it easier to capture video, analyze data, share highlights and do a lot more.  

Ready to join us?

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 just getting started - our team builds new experiences and powers automation across Hudl, using cutting-edge computer vision and deep learning technologies, deployed both in the cloud and on our Focus cameras at the edge.

As a Senior Engineering Manager, you’ll lead two teams of Applied Scientists and Engineers to deliver AI/ML solutions at scale, shaping the future of sports technology. Your role will blend 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 will: 

  • Set Direction. Define a long-term vision and direction, driven by our customers' needs, translating it into roadmaps, and foster collaboration across teams, functions, and business units to define and execute complex projects.
  • Develop and manage a research agenda, that balance between short-term deliverables with measurable business impact, as well as long-term investments.
  • Act as a technical supervisor. You’ll guide development efforts to maximize outcomes in your team's 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

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
£72,750£135,000 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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Experience

Level of experience: Senior (5-10 years)
Industry :
Spoken language(s):
English
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