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- Tasks: Design and develop cutting-edge 3D reconstruction algorithms to enhance vehicle safety.
- Company: Join UVeye, a pioneering tech company transforming automotive inspections with AI.
- Benefits: Competitive salary, career growth, and the chance to work with industry giants.
- Why this job: Make a global impact on vehicle safety while working with innovative technologies.
- Qualifications: 4+ years in computer vision, strong Python skills, and a relevant degree required.
- Other info: Work 3 days a week in our vibrant Camden office with a diverse team.
The predicted salary is between 36000 - 60000 £ per year.
R&DSenior Computer Vision Engineer – UKUnited Kingdom · Full-time## About The PositionAt 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.**A day in the life and how you’ll make an impact:*** 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.## Requirements* 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- Must* Experience with Major Computer vision frameworks and pipelines (OpenCV, COLMAP etc.)* Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.) – Advantage.* 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.We seek an experienced ***Senior Computer Vision Engineer***with proven capabilities to lead the development of new products from concept to production. In this role, you will join our **London office in Camden Town (3 office days per week**) and be a part of a highly talented team to drive UVeye’s inspection portfolio and create diverse Machine and Deep Learning algorithmic solutions. #J-18808-Ljbffr
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 industry, attend meetups, and connect with people on LinkedIn. 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, especially those related to computer vision and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to computer vision and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team at UVeye.
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 the Senior Computer Vision Engineer role. Highlight your experience with 3D reconstruction and clustering algorithms, and don’t forget to mention any relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about computer vision and how your skills align with our mission at UVeye. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Projects: If you’ve got any cool projects or proof of concepts related to computer vision, make sure to include them in your application. We love seeing practical applications of your skills, especially if they involve innovative solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 must-have for this role, practice coding problems related to computer vision. You might be asked to solve a problem on the spot, so being comfortable with frameworks like OpenCV and TensorFlow will give you an edge.
✨Prepare for Technical Questions
Expect in-depth technical questions about your experience with major computer vision frameworks and deep learning pipelines. Review common interview questions in these areas and think of examples from your past work that demonstrate your expertise.
✨Demonstrate Team Collaboration
UVeye values teamwork, so be prepared to discuss how you've collaborated with others in previous roles. Share examples of how you contributed to team projects and how you handle feedback and differing opinions.
