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- Tasks: Advance video perception methods and collaborate on transforming models into products.
- Company: Global technology leader focused on innovation in Video AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the world of AI.
- Qualifications: Relevant degree and experience in AI model research, with skills in computer vision.
- Other info: Exciting opportunity to thrive in a collaborative and innovative atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
A global technology leader is looking for a researcher to join an applied research team in Video AI. The role involves advancing methods for video perception and collaborating with engineering teams to transition models into products.
Candidates should have a relevant degree and experience in AI model research, with strong skills in computer vision and deep learning frameworks.
This is an excellent opportunity to grow in a dynamic environment committed to innovation and teamwork.
Video Perception AI Research Engineer in City of Westminster employer: Cisco Systems, Inc.
Contact Detail:
Cisco Systems, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Video Perception AI Research Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the Video AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in computer vision and deep learning. This is your chance to demonstrate what you can bring to the table beyond your degree.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your research experience. We want to see how you think and solve problems, so practice explaining your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Video Perception AI Research Engineer in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI model research and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about video perception and how you can contribute to our innovative team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves deep learning frameworks, make sure to mention any specific tools or technologies you’ve worked with. We’re keen on seeing your hands-on experience, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our dynamic team!
How to prepare for a job interview at Cisco Systems, Inc.
✨Know Your AI Models
Make sure you brush up on the latest advancements in AI model research, especially in video perception. Be ready to discuss specific models you've worked with and how they can be applied to real-world problems.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering teams, prepare examples of past collaborations. Highlight how you effectively communicated complex ideas and contributed to team success.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with popular deep learning frameworks like TensorFlow or PyTorch. Be prepared to discuss your experience with these tools and how you've used them in your projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to innovation in Video AI. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values.
