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- Tasks: Research and develop cutting-edge methods for 2D and 3D video perception.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Opportunity for impactful research and collaboration with diverse teams.
- Why this job: Join a dynamic team and shape the future of AI in video technology.
- Qualifications: Strong background in AI, deep learning, and experience with PyTorch or TensorFlow.
- Other info: Exciting opportunities for career growth and professional development.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in Greater London is looking for a Senior AI Researcher with extensive experience in video perception and deep learning. The candidate will research and develop methods for 2D and 3D understanding, and work closely with production engineering teams to implement these solutions.
Strong educational background in AI or related fields and hands-on experience with frameworks like PyTorch or TensorFlow is essential. The role offers opportunities for impactful research and collaboration across diverse teams.
Senior Video AI Engineer — 2D/3D Perception in London employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Video AI Engineer — 2D/3D Perception in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and video perception. Attend meetups or webinars to connect with potential colleagues and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to 2D and 3D understanding. Use platforms like GitHub to share your code and demonstrate your hands-on experience with frameworks like PyTorch or TensorFlow.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI research and video perception, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Video AI Engineer — 2D/3D Perception in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in video perception and deep learning. We want to see how your skills align with the role, so don’t be shy about showcasing 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 AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Since we’re looking for someone with hands-on experience in frameworks like PyTorch or TensorFlow, make sure to mention specific projects where you’ve used these tools. We want to know how you’ve applied your knowledge in real-world scenarios!
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest advancements in video perception and deep learning. Brush up on your knowledge of frameworks like PyTorch and TensorFlow, as you might be asked to discuss specific projects or challenges you've faced using these tools.
✨Showcase Your Research Skills
Prepare to talk about your previous research experiences, especially those related to 2D and 3D understanding. Be ready to explain your methodologies, findings, and how they can be applied to real-world problems, as this will demonstrate your ability to contribute to impactful research.
✨Collaboration is Key
Since the role involves working closely with production engineering teams, think of examples where you’ve successfully collaborated with others. Highlight your communication skills and how you’ve navigated team dynamics to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future directions in AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.