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- Tasks: Lead the Scene Understanding Team in developing cutting-edge computer vision solutions.
- Company: A leading tech firm known for innovation and excellence.
- Benefits: Full-time role with leadership opportunities and a dynamic team environment.
- Why this job: Join a pioneering team and shape the future of AI and computer vision.
- Qualifications: 6+ years in software engineering, expertise in Python, and AI project experience.
- Other info: Collaborative culture with exciting challenges and growth potential.
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 in London 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 in London
✨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 and scene understanding, so you can confidently demonstrate your expertise.
✨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 in London
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 Projects: If you've worked on relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially in Python and 3D reconstruction. Include links or descriptions that demonstrate your expertise.
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 Cervin Ventures
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant AI projects you've worked on. Be ready to discuss specific examples of your experience with computer vision and geometry, as this will show your depth of knowledge and expertise.
✨Showcase Your Leadership Skills
Since this role involves leading a team, think about times when you've taken charge of a project or mentored others. Prepare to share these experiences during the interview to demonstrate your leadership capabilities and how you can contribute to the team's success.
✨Prepare for Technical Questions
Expect to face some challenging technical questions related to scene understanding and 3D reconstruction. Practise explaining complex concepts in simple terms, as this will help you communicate effectively with both technical and non-technical team members.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company's projects, team dynamics, and future goals. This not only shows your interest but also helps you gauge if the company is the right fit for you.
