Gen AI ML Engineer: Real-time Image/Video & AR
Gen AI ML Engineer: Real-time Image/Video & AR

Gen AI ML Engineer: Real-time Image/Video & AR

Bachelor 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Create groundbreaking ML products for image, video, and AR experiences.
  • Company: Leading tech company in the UK with a focus on innovation.
  • Benefits: Competitive salary, diverse workplace, and opportunities for growth.
  • Why this job: Join a team pushing the boundaries of technology and creativity.
  • Qualifications: Bachelor's in a technical field and experience with PyTorch or TensorFlow.
  • Other info: Collaborative environment that values diversity and equality.

The predicted salary is between 36000 - 60000 £ per year.

A leading technology company in the United Kingdom is looking for a Machine Learning Engineer to join their team. You will develop innovative ML products, focusing on image and video generation, and augment reality experiences.

Ideal candidates should have:

  • A Bachelor's degree in a technical field
  • Experience with major deep learning frameworks like PyTorch or TensorFlow
  • A passion for machine learning

The role emphasizes collaboration within teams and working on cutting-edge technology. Snap is committed to diversity and equality in the workplace.

Gen AI ML Engineer: Real-time Image/Video & AR employer: Snap Inc.

Join a leading technology company in the UK that champions innovation and collaboration, offering a dynamic work culture where your contributions to machine learning and augmented reality will be valued. With a strong commitment to diversity and equality, employees benefit from continuous growth opportunities and the chance to work with cutting-edge technology in a supportive environment.
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Contact Detail:

Snap Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Gen AI ML Engineer: Real-time Image/Video & AR

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving image/video generation or AR. This will give you an edge and demonstrate your passion for machine learning.

✨Tip Number 3

Prepare for technical interviews by brushing up on your deep learning frameworks like PyTorch or TensorFlow. Practice coding challenges 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 that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.

We think you need these skills to ace Gen AI ML Engineer: Real-time Image/Video & AR

Machine Learning
Image Generation
Video Generation
Augmented Reality (AR)
Deep Learning Frameworks
PyTorch
TensorFlow
Collaboration Skills
Technical Degree
Innovation
Passion for Machine Learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with deep learning frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about machine learning and how you can contribute to our innovative ML products. Keep it engaging and personal – we love to see your personality!

Showcase Your Collaboration Skills: Since this role emphasises teamwork, mention any collaborative projects you've worked on. We value candidates who can work well within teams, so share examples of how you’ve contributed to group success.

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 Snap Inc.

✨Know Your Tech

Make sure you brush up on your knowledge of deep learning frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with these tools and how you've used them in past projects. This will show that you're not just familiar with the tech, but that you can apply it effectively.

✨Showcase Your Passion

Since the role emphasises a passion for machine learning, be prepared to share what excites you about the field. Talk about any personal projects or research you've done related to image/video generation or augmented reality. This will help you stand out as someone who truly cares about the work.

✨Collaboration is Key

As this position involves teamwork, think of examples where you've successfully collaborated with others. Whether it's through group projects or cross-functional teams, highlight your ability to communicate and work well with diverse groups. This will demonstrate that you can thrive in their collaborative environment.

✨Diversity and Inclusion Matters

Familiarise yourself with the company's commitment to diversity and equality. Be ready to discuss how you can contribute to a diverse workplace and why it matters to you. This shows that you align with their values and are a good cultural fit for the team.

Gen AI ML Engineer: Real-time Image/Video & AR
Snap Inc.
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  • Gen AI ML Engineer: Real-time Image/Video & AR

    Bachelor
    36000 - 60000 £ / year (est.)
  • S

    Snap Inc.

    1001-5000
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