Staff Engineer - Machine Learning (London)
2 Days Old
Join to apply for the Staff Engineer - Machine Learning role at Hudl
Join to apply for the Staff Engineer - Machine Learning role at Hudl
At Hudl, we build great teams. We hire the best of the best to ensure youre working with people you can constantly learn from. Youre trusted to get your work done your way while testing the limits of whats possible and whats next. We work hard to provide a culture where everyone feels supported, and our employees feel ittheir 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. Thats 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? Our Applied Machine Learning (AML) teams vision is to extract valuable insights from video and deliver them to coaches, athletes and fans at the perfect moment. We build new experiences and power 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. Role As a Staff Engineer, youll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities for this role include:- Define the technical direction. Youll set the tone for the systems architecture and technical capabilities required to stay ahead of challenges well likely encounter over the next 1224 months.
- Own complex, high-impact AI/ML projects. Youll work across multiple business units, ensuring high-quality delivery that aligns with business goals
- Define excellence. Through your example, youll set the bar for engineering excellence, best practices and quality within AML.
- Drive innovation. Generate and implement new ideas that open up technical or business opportunities in unexpected ways.
- A product focus. You have a proven track record of delivering impactful AI/ML products at scale.
- Leadership experience. You know how to coach and influence a team of Engineers in large organizations.
- Technical expertise. You have built, maintained and scaled complex AI/ML systems in production, and youre familiar with the full lifecycle of AI/ML models, from design to deployment and monitoring. You also have extensive experience in several of the following areas: GPU acceleration; inference at scale on both edge devices and cloud; real-time systems; active-learning; and MLOps.
- Communication skills. You can easily and clearly express yourself verbally and in a written format. Youre able to convey complex technical concepts and trade-offs to cross-functional stakeholders at all levels of the organization.
- Sports industry experience. Youve used AI/ML in sports to generate data and/or create insights.
- Champion work-life harmony. Well 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 youll own your work and have the agency to try new ideas.
- Encourage career growth. Were lifelong learners who encourage professional development. Well 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 youre at the office or working remotely, well provide you the tech you need to do your best work.
- Support your wellbeing. Depending on location, we offer medical and retirement benefits for employeesbut no matter where youre located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Software Development
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#J-18808-Ljbffr- Location:
- London
- Salary:
- £150,000,000
- Job Type:
- FullTime
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