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- Tasks: Design and implement cutting-edge perception technology in 3D vision and multi-camera systems.
- Company: Innovative tech firm at the forefront of AI and robotics.
- Benefits: Competitive salary, equity options, and hybrid working model.
- Other info: Collaborative environment with opportunities for impactful research and deployment.
- Why this job: Join a pioneering team and shape the future of computer vision technology.
- Qualifications: PhD in Computer Vision, AI, or Robotics with strong ML skills.
The predicted salary is between 110000 - 150000 £ per year.
We are seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. You will work directly with the Founder and technical leaders to design and implement the core geometry and perception pipeline.
Location: Oxford - hybrid working
Salary: c£110-150k DoE + Equity
Senior Computer Vision Engineer PhD in CV / AI / Robotics in Oxford employer: Employer near you
Contact Detail:
Employer near you Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer PhD in CV / AI / Robotics in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the computer vision and AI space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to 3D vision and multi-camera systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges that focus on computer vision problems to impress during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Computer Vision Engineer PhD in CV / AI / Robotics in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision, AI, and robotics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about perception technology and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects related to 3D vision or multi-camera systems, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions that highlight your contributions.
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’s super easy – just follow the prompts!
How to prepare for a job interview at Employer near you
✨Know Your Stuff
Make sure you brush up on the latest trends and technologies in computer vision, AI, and robotics. Be ready to discuss your PhD research and how it relates to the role. We recommend preparing specific examples of your work with 3D vision and multi-camera systems.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges or case studies. We suggest practising how to articulate your thought process clearly. Demonstrating your ability to think critically and solve problems will impress the technical leaders.
✨Connect with the Company Vision
Research the company’s mission and recent projects. We believe that showing genuine interest in their novel perception technology will set you apart. Prepare questions that reflect your understanding of their work and how you can contribute.
✨Be Ready for a Hybrid Work Discussion
Since this role offers hybrid working, be prepared to discuss your preferences and how you manage productivity in different environments. We suggest thinking about your past experiences with remote work and how you can maintain collaboration with the team.