Senior Machine Learning Engineer

Hudl; London; On-site; GBP 100,000 - 110,000; Full time

Job summary

Join a forward-thinking company as a Senior Machine Learning Engineer, where you'll leverage your expertise in C++ and Python to deliver cutting-edge AI solutions in the sports industry. This role emphasizes collaboration and innovation, allowing you to develop impactful products that enhance the experience for athletes and coaches alike. With a focus on work-life harmony and career growth, you'll thrive in an environment that values your contributions and supports your professional journey. If you're passionate about technology and sports, this opportunity is perfect for you.

Benefits

Flexible vacation time

Remote work options

Professional development resources

Employee Assistance Program

Incredible office spaces

Qualifications

• Extensive experience in C++ and Python with AI/ML systems.
• Proven track record in delivering impactful AI/ML products.

Responsibilities

• Design, build, and deploy ML models for sports applications.
• Lead projects to deliver high-impact results for customers.

Skills

C++

Python

Kubernetes

TensorRT

Nvidia DeepStream

Nvidia Jetson

AWS

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 a Senior Machine Learning Engineer to join our team and deliver new experiences and valuable insights to our coaches, athletes and fans. You'll drive game-changing initiatives that use cutting-edge computer-vision and deep learning at scale to shape the future of sports at every level, from professional teams to local high schools.

As a Senior ML Engineer, your priorities will include:

• Delivering for customers at scale. Design, build and deploy ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches.
• Leading projects. You'll own the work to deliver high-impact results for customers and the business, all in service of your team's quarterly goals.
• Collaboration. By working closely with other teams and cross-functional leaders to deliver your projects in small increments, you'll ensure our products meet the highest standards.
• Support your team. You'll optimize your team's ML lifecycle across annotation, training, deployment and monitoring, so your team can have more impact, faster.

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 C++/Python, and several of the following areas: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson and AWS.
• A product focus. Your proven track record of delivering impactful AI/ML products with close collaboration with product is impressive.
• System experience. When it comes to building, maintaining and monitoring complex AI/ML systems in production at scale, you're a pro.

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.
• Deeper systems knowledge. Extra experience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded SoCs (e.g. Nvidia, Qualcomm, etc.).

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

£100,000-£110,000 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.