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- Tasks: Research and develop innovative solutions in Computer Vision and Machine Learning.
- Company: Leading tech firm in the UK with a focus on cutting-edge research.
- Benefits: Flexible work options, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a collaborative team and turn academic findings into real-world applications.
- Qualifications: PhD or equivalent expertise in deep learning and extensive research experience.
- Other info: Mentor junior staff and contribute to large-scale classification projects.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in the United Kingdom seeks a skilled researcher to work on innovative projects in Computer Vision and Machine Learning. The ideal candidate will have a PhD or equivalent expertise and extensive experience applying deep learning techniques.
Responsibilities include:
- Researching large-scale classification
- Mentoring junior staff
- Implementing cutting-edge academic findings into practical applications
This role offers flexible work options and a comprehensive benefits package, fostering professional growth and a collaborative environment.
Senior AI Research Scientist — Vision & Deep Learning employer: Story Terrace Inc.
Contact Detail:
Story Terrace Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Research Scientist — Vision & Deep Learning
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and deep learning space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We recommend practising common interview questions related to computer vision and deep learning to boost your confidence.
✨Tip Number 3
Showcase your work! Create a portfolio or GitHub repository with your research papers, projects, and any code samples. This gives potential employers a tangible look at what you can do and how you apply your knowledge.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Research Scientist — Vision & Deep Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Computer Vision and Machine Learning. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and any relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI research and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Research Impact: When detailing your past work, focus on the impact of your research. We’re interested in how your findings have been applied in real-world scenarios, especially in large-scale classification tasks. Let us know how you’ve made a difference!
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 Story Terrace Inc.
✨Know Your Stuff
Make sure you brush up on the latest trends in Computer Vision and Deep Learning. Be ready to discuss your previous research projects in detail, especially how you've applied deep learning techniques. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Your Mentoring Skills
Since mentoring junior staff is part of the role, think of examples where you've guided others in their research or projects. Prepare to share how you approach mentorship and what strategies you use to help others grow.
✨Practical Applications Matter
Be prepared to discuss how you've taken academic findings and turned them into practical applications. Think of specific instances where your work has had a real-world impact, as this will demonstrate your ability to bridge the gap between theory and practice.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects in AI and how they envision the future of Computer Vision. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
