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For Companies At a Glance
- Tasks: Lead the development of innovative computer vision products and algorithms.
- Company: Join UVeye, a pioneering tech company transforming vehicle safety with AI.
- Benefits: Competitive salary, diverse workplace, and opportunities for career growth.
- Why this job: Make a global impact on automotive safety with cutting-edge technology.
- Qualifications: 4+ years in computer vision, strong Python skills, and experience with major frameworks.
- Other info: Work 3 days a week in our vibrant Camden Town office.
The predicted salary is between 36000 - 60000 £ per year.
Overview
At UVeye, we\’re on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world\’s first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector.
With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. UVeye has an excellent product-market fit with hundreds of car dealerships, car auctions, and car fleets as perpetual paying customers. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual\’s efforts are recognized and valued as we unite to build a safer automotive world.
Responsibilities
- Lead the development of new products from concept to production as a Senior Computer Vision Engineer.
- Join the London office in Camden Town (3 office days per week) and drive UVeye\’s inspection portfolio with a team to create diverse Machine and Deep Learning algorithmic solutions.
- Design and Development of novel robust and efficient 3D reconstruction and clustering algorithms, combining classical and Deep Learning algorithms for major Vision challenges. Create Proof of concept for new products and technology.
- Evaluate and benchmark different algorithms on unique proprietary datasets.
- Collaborate with team members to define future technology and features.
Qualifications
- 4+ years of industry experience in developing and productizing Computer Vision algorithms, with emphasis on 3D reconstruction and clustering algorithms.
- Hands-on industry experience working on major Vision problems in the fields of 3D reconstruction, monocular depth estimation, and clustering.
- Experience with Python.
- Experience with major computer vision frameworks and pipelines (OpenCV, COLMAP, etc.).
- Experience with major deep learning frameworks (such as PyTorch, TensorFlow, etc.).
- Experience working with Tracking / SFM / SLAM / mono-color depth / Point Cloud Registration – An advantage.
- Comfortable in unexplored territory, independent and self-motivated.
- Relevant degree.
- Availability to work 3 days a week from our London (Camden) office.
Why UVeye
- Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
- Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
- Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.
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Senior Computer Vision Engineer - UK employer: UVeye
Contact Detail:
UVeye Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer - UK
✨Tip Number 1
Network like a pro! Reach out to folks in the automotive tech scene, especially those working with AI and computer vision. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn – you never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to 3D reconstruction and clustering algorithms. This is your chance to demonstrate your hands-on experience and creativity, making you stand out when you apply through our website.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and major computer vision frameworks. Practice coding challenges and algorithm questions that relate to the role. We want to see how you tackle real-world problems, so get ready to impress!
✨Tip Number 4
Don’t forget to research UVeye! Understand our mission and the technology we use. When you apply through our website, tailor your application to reflect how your skills align with our goals in revolutionising vehicle inspections. Show us you’re passionate about making an impact!
We think you need these skills to ace Senior Computer Vision Engineer - UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in computer vision and 3D reconstruction. We want to see how your skills align with our mission at UVeye, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about vehicle safety and how your background makes you the perfect fit for our team. Let us know what excites you about working with cutting-edge AI technology.
Showcase Your Projects: If you've worked on any cool projects or have a portfolio, make sure to include that! We love seeing practical applications of your skills, especially in machine learning and computer vision. It gives us a better idea of what you can bring to the table.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining the UVeye family!
How to prepare for a job interview at UVeye
✨Know Your Algorithms
Make sure you brush up on your knowledge of 3D reconstruction and clustering algorithms. Be ready to discuss specific projects where you've applied these techniques, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since Python is a key requirement, prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to computer vision frameworks like OpenCV or deep learning libraries like PyTorch.
✨Understand UVeye's Mission
Familiarise yourself with UVeye's mission to redefine vehicle safety. Be prepared to discuss how your experience aligns with their goals and how you can contribute to their innovative projects in AI and machine learning.
✨Emphasise Team Collaboration
Highlight your ability to work in a team, especially in collaborative environments. Share examples of how you've successfully worked with others to develop new products or solve complex problems, as teamwork is a core value at UVeye.
