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- Tasks: Lead the Scene Understanding Team in developing cutting-edge computer vision solutions.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Full-time role with leadership opportunities and a dynamic team environment.
- Why this job: Make a real impact in AI and computer vision while advancing your career.
- Qualifications: 6+ years of experience in software engineering, Python proficiency, and AI project expertise.
- Other info: Collaborative culture with exciting challenges in 3D reconstruction.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech firm is seeking an experienced Software Engineer to lead the Scene Understanding Team in the development of computer vision research and solutions. This role focuses on designing systems to calibrate numerous cameras and implementing advanced methods in 3D reconstruction.
Ideal candidates have over 6 years of experience, proficiency in Python, and a proven track record with AI projects, specifically in computer vision and geometry. This full-time position offers opportunities for leadership and collaboration within a dynamic team environment.
Senior AI Systems Engineer, Scene Understanding employer: Cervin Ventures
Contact Detail:
Cervin Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Systems Engineer, Scene Understanding
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to computer vision and geometry. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI systems 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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Systems Engineer, Scene Understanding
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and AI projects. We want to see how your skills align with the role, so don’t be shy about showcasing your 6+ years of experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about scene understanding and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since proficiency in Python is key, make sure to mention any relevant projects or experiences where you've used it. We love seeing concrete examples of your work, especially in 3D reconstruction and camera calibration.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Cervin Ventures
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your previous AI projects in detail. Be prepared to explain the technical aspects of your work, especially around computer vision and 3D reconstruction.
✨Showcase Your Leadership Skills
Since this role involves leading a team, think of examples where you've successfully guided others or taken charge of a project. Highlight your ability to collaborate and inspire a dynamic team environment.
✨Prepare for Technical Questions
Expect to face some challenging technical questions related to scene understanding and camera calibration. Practise explaining complex concepts clearly and concisely, as this will demonstrate your expertise and communication skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team’s current projects or future goals in AI and computer vision, which will reflect your enthusiasm and forward-thinking mindset.
