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- Tasks: Develop and maintain sports tracking tools using modern C++.
- Company: Exciting sports technology company with a fully remote work culture.
- Benefits: Flexible hours, competitive pay, and opportunities for skill enhancement.
- Why this job: Join a dynamic team and make an impact in the sports tech industry.
- Qualifications: Mid-level experience in C++ and a passion for computer vision.
- Other info: Collaborative environment with a focus on performance improvement.
The predicted salary is between 36000 - 60000 £ per year.
A sports technology company is seeking a Mid-Level Computer Vision Engineer for a fully remote contract role. The successful candidate will develop and maintain tools for sports tracking, leveraging modern C++ skills. Collaboration with cross-functional teams and a focus on performance improvement are key. An interest in computer vision concepts and modern engineering practices is essential for this opportunity.
Remote Computer Vision Engineer (Mid-Level, C++) in London employer: Hawk-Eye Innovations (HEI)
Contact Detail:
Hawk-Eye Innovations (HEI) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Computer Vision Engineer (Mid-Level, C++) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to computer vision and C++. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your C++ knowledge and be ready to discuss your experience with sports tracking tools. Practising common technical questions can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Remote Computer Vision Engineer (Mid-Level, C++) in London
Some tips for your application 🫡
Show Off Your C++ Skills: Make sure to highlight your modern C++ skills in your application. We want to see how you've used C++ in past projects, especially if it relates to computer vision or performance improvement.
Talk About Teamwork: Since collaboration is key for us, share examples of how you've worked with cross-functional teams. This could be anything from brainstorming sessions to tackling challenges together.
Express Your Passion for Computer Vision: Let us know why you're interested in computer vision! Share any personal projects, research, or experiences that showcase your enthusiasm and understanding of the field.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Hawk-Eye Innovations (HEI)
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss specific projects where you've used C++, especially in relation to computer vision. They’ll likely want to see how you can apply your knowledge to sports tracking.
✨Show Off Your Collaboration Skills
Since this role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with different departments or tackled challenges as a team.
✨Demonstrate Your Passion for Computer Vision
Express your interest in computer vision concepts during the interview. Discuss any relevant projects or research you've done, and be prepared to talk about the latest trends in the field. This will show that you're not just qualified, but genuinely enthusiastic about the work.
✨Prepare for Performance Improvement Questions
Since performance improvement is key for this role, think of specific instances where you've optimised code or improved system performance. Be ready to explain your thought process and the impact of your changes, as this will demonstrate your problem-solving skills.
