Senior Research Engineer — Post-Training Video Diffusion in London
Senior Research Engineer — Post-Training Video Diffusion

Senior Research Engineer — Post-Training Video Diffusion in London

London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop cutting-edge AI technology for creating realistic synthetic humans in video.
  • Company: Leading AI video tech company based in London with a focus on innovation.
  • Benefits: Competitive salary, stock options, and hybrid work setup.
  • Why this job: Join us to revolutionise video communications and make a global impact.
  • Qualifications: 3+ years in computer vision and experience with generative models.

The predicted salary is between 43200 - 72000 £ per year.

A leading AI video technology company in London is seeking a Senior Research Engineer to work in Generative AI, focusing on highly realistic synthetic humans through text-to-video.

The ideal candidate will have 3+ years of experience in computer vision and a background in generative models.

This role offers a hybrid work setup with competitive compensation, including salary and stock options.

Join us to shape the future of video communications for businesses worldwide.

Senior Research Engineer — Post-Training Video Diffusion in London employer: Synthesia

As a leading AI video technology company based in London, we pride ourselves on fostering a dynamic and innovative work culture that encourages creativity and collaboration. Our employees benefit from a hybrid work setup, competitive compensation packages including salary and stock options, and ample opportunities for professional growth in the rapidly evolving field of generative AI. Join us to be part of a forward-thinking team that is shaping the future of video communications globally.
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Contact Detail:

Synthesia Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Research Engineer — Post-Training Video Diffusion in London

Tip Number 1

Network like a pro! Reach out to folks in the AI and video tech space on LinkedIn. 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 generative models. This is your chance to shine beyond the written application.

Tip Number 3

Prepare for the interview by brushing up on the latest trends in generative AI. We want to see your passion and knowledge about shaping the future of video communications!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace Senior Research Engineer — Post-Training Video Diffusion in London

Computer Vision
Generative Models
Text-to-Video Technology
AI Research
Synthetic Human Generation
Experience in Generative AI
Hybrid Work Adaptability
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in computer vision and generative models. 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 generative AI and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Projects: If you've worked on any cool projects related to text-to-video or synthetic humans, make sure to mention them! We’re keen to see your hands-on experience and innovative ideas that could shape the future of video communications.

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 gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at Synthesia

Know Your Generative AI Inside Out

Make sure you brush up on the latest advancements in generative models and text-to-video technology. Be prepared to discuss your previous projects and how they relate to creating realistic synthetic humans. This will show your passion and expertise in the field.

Showcase Your Computer Vision Skills

Since the role requires a solid background in computer vision, be ready to explain your experience with relevant algorithms and techniques. Bring examples of your work that demonstrate your problem-solving abilities and how you've applied these skills in real-world scenarios.

Prepare for Technical Questions

Expect some technical questions or even coding challenges during the interview. Practise common algorithms and concepts related to AI and video processing. We recommend reviewing your past work and being able to articulate your thought process clearly.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future goals in AI video technology. This not only shows your interest but also helps you gauge if the company is the right fit for you.

Senior Research Engineer — Post-Training Video Diffusion in London
Synthesia
Location: London

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