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- Tasks: Develop machine learning products and create engaging augmented reality experiences.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Encourages professional growth, collaboration, and offers competitive salary.
- Why this job: Join us to shape the future of digital communication with cutting-edge technology.
- Qualifications: Bachelor's in a technical field and experience in Python, TensorFlow, or PyTorch.
- Other info: Exciting opportunity for graduates to work on innovative projects.
The predicted salary is between 28800 - 48000 £ per year.
A leading tech company in the UK is seeking a Graduate Machine Learning Engineer - Gen AI. In this role, you will develop machine learning products and augmented reality experiences that enhance user engagement.
Ideal candidates should have:
- A Bachelor's in a technical field
- Experience in Python, TensorFlow, or PyTorch
This position encourages professional growth and collaboration on cutting-edge projects. Join us to shape the future of digital communication!
Gen AI ML Engineer – Vision & AR Systems employer: Snap Inc.
Contact Detail:
Snap Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI ML Engineer – Vision & AR Systems
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, TensorFlow, or PyTorch. This is your chance to demonstrate what you can do and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common machine learning concepts and AR systems. Practice coding challenges and be ready to discuss your past projects. Confidence is key, so let your passion for AI shine through!
✨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 Gen AI ML Engineer – Vision & AR Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, TensorFlow, or PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and augmented reality. Let us know how you can contribute to our team and what excites you about this opportunity.
Showcase Your Projects: If you've worked on any cool projects related to machine learning or AR, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Snap Inc.
✨Know Your Tech
Make sure you brush up on your Python, TensorFlow, and PyTorch skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Creativity
Since this role involves developing augmented reality experiences, think of innovative ideas or projects you've worked on that demonstrate your creativity. Be prepared to share how you approach problem-solving in a unique way.
✨Understand the Company’s Vision
Research the company’s current projects and their vision for the future of digital communication. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their mission.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This shows your enthusiasm for the role and gives you a chance to learn more about the team dynamics and the projects you'll be working on.
