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- Tasks: Create innovative ML applications that enhance user experiences with AR technology.
- Company: Leading tech company in Greater London with a focus on diversity.
- Benefits: Comprehensive benefits including parental leave and medical coverage.
- Why this job: Join a team pushing the boundaries of augmented reality and make a real impact.
- Qualifications: Strong background in machine learning and software engineering, especially in Python or C++.
- Other info: Collaborative environment with opportunities to work on complex projects.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech company in Greater London is seeking a Machine Learning Engineer to develop innovative products that enhance user experiences on their platform. This role focuses on creating ML-driven applications, collaborating across teams, and pushing the boundaries of augmented reality technology.
The ideal candidate possesses a strong background in machine learning and software engineering, especially in Python or C++, and has demonstrated success in delivering complex projects.
Snap is committed to diversity and offers comprehensive benefits, including parental leave and medical coverage.
Senior Gen AI ML Engineer: Image & Video AR Lenses employer: Snap Inc.
Contact Detail:
Snap Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Gen AI ML Engineer: Image & Video AR Lenses
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and augmented reality. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and AR. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Gen AI ML Engineer: Image & Video AR Lenses
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and software engineering. We want to see how your skills in Python or C++ can contribute to our innovative projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about augmented reality and how you can enhance user experiences on our platform. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any complex projects, especially those related to ML-driven applications, make sure to mention them. We love seeing real-world examples of your work and how you've pushed boundaries in tech!
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 from our team!
How to prepare for a job interview at Snap Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning concepts, especially those related to image and video processing. Be ready to discuss your experience with Python or C++, as well as any relevant projects you've worked on. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Collaborative Spirit
Since this role involves working across teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to innovative solutions, as this will demonstrate your ability to work well with others and push boundaries together.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice solving problems on the spot, especially those related to augmented reality and machine learning applications. This will help you showcase your critical thinking skills and your approach to tackling complex issues.
✨Emphasise Your Project Successes
Be ready to discuss specific projects where you've delivered successful outcomes. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on how your contributions made a difference. This will help the interviewers see your impact and potential fit for their team.
