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For Companies At a Glance
- Tasks: Design and implement cutting-edge 3D perception systems while managing projects from prototype to production.
- Company: Fast-moving tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for mentorship.
- Why this job: Join a highly technical team and make an impact in innovative industrial applications.
- Qualifications: 5+ years in 3D computer vision, strong machine learning background, and Python proficiency.
- Other info: Mentorship opportunities available for junior engineers in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A fast-moving technology company in the UK is looking for a Senior 3D Computer Vision Engineer. This hybrid role involves designing and implementing 3D perception systems, managing projects from prototype to production, and mentoring junior engineers.
Ideal candidates have over 5 years of experience in 3D computer vision, a strong background in machine learning, and proficiency in Python programming. Enjoy the opportunity to work in a highly technical team focused on innovative industrial applications.
Hybrid 3D Vision Engineer - Lead Production Pipelines employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid 3D Vision Engineer - Lead Production Pipelines
✨Tip Number 1
Network like a pro! Reach out to professionals in the 3D vision and machine learning fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to 3D perception systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions in 3D computer vision and machine learning. Practice explaining your past projects and how they relate to the role you're applying for.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Hybrid 3D Vision Engineer - Lead Production Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in 3D computer vision and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about 3D perception systems and how your background makes you the 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 Python programming, make sure to mention them. We love seeing real-world 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 Jobster
✨Know Your 3D Vision Inside Out
Make sure you brush up on your knowledge of 3D perception systems. Be ready to discuss your past projects in detail, especially those that involved transitioning from prototype to production. Highlight any challenges you faced and how you overcame them.
✨Show Off Your Machine Learning Skills
Since a strong background in machine learning is crucial for this role, prepare to talk about specific algorithms or techniques you've used. Bring examples of how you've applied machine learning in your previous work, particularly in relation to 3D computer vision.
✨Demonstrate Leadership and Mentoring Experience
As this position involves mentoring junior engineers, be ready to share your experiences in leading teams or projects. Discuss how you've supported the growth of others and what strategies you use to foster a collaborative environment.
✨Get Comfortable with Python
Proficiency in Python programming is key, so make sure you're prepared to discuss your coding experience. You might even want to brush up on some common libraries used in 3D vision and machine learning, as you could be asked to solve a problem on the spot.
