At a Glance
- Tasks: Join a cutting-edge team to innovate in diffusion-based generative modelling.
- Company: Be part of a well-funded AI start-up in London, poised for massive growth.
- Benefits: Enjoy a competitive salary, equity options, private healthcare, and a pension plan.
- Other info: Full-time role in London, working directly with the CTO and leading researchers.
- Why this job: Make an immediate impact in the world of generative AI while collaborating with top researchers.
- Qualifications: PhD in Computer Vision or related field, with expertise in diffusion models and large-scale training.
The predicted salary is between 114000 - 266000 £ per year.
Job Description
Research Scientist (Diffusion Models)
London – AI Start-up
Up to £190,000 Shares (worth up to 1.5mil) Private Healthcare Pension
We’re working with a well-funded AI start-up in London that’s gearing up for huge growth. They’re expecting to scale 10x over the next 18 months.
They’re now looking for a research scientist / research engineer with deep expertise in diffusion models, ideally with hands-on experience in large-scale training of image and/or video models. You’ll be joining a world-class technical team at the cutting edge of generative AI, working directly with the CTO and other senior researchers to push the boundaries of what’s possible in visual intelligence.
The role
This isn’t your average research position – you’ll be working on core problems in diffusion-based generative modelling, contributing both to the research literature and to production-scale systems. You’ll design and implement novel architectures, scale training runs across large distributed systems, and collaborate with engineers to bring state-of-the-art models into real-world applications.
With strong backing and serious compute resources, this is a rare opportunity to lead groundbreaking research while seeing your work have immediate impact.
The role is full-time, 5 days a week in their London office.
What they’re looking for
- A PhD in Computer Vision, Machine Learning, or a related field
- Publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR)
- Deep expertise in diffusion models and generative modelling
- Hands-on experience with large-scale training of image and/or video models
- Ideally, experience contributing to a large-scale training effort beyond academia
- A self-starter with the drive to push research into production
What’s on offer
- Up to £190,000 salary
- Significant equity package, worth up to 1.5mil
- Direct line into the CTO and collaboration with world-class researchers
- Access to substantial compute resources to support ambitious research
- A chance to shape the future of generative AI at scale
Research Scientist (Diffusion Models)
London – AI Start-up
Up to £190,000 Shares Private Healthcare Pension
Please click “APPLY” to be considered for this role!
Research Scientist (Diffusion Models) in London employer: Revybe IT Recruitment Ltd
Join a dynamic AI start-up in London that is poised for exponential growth, offering an exceptional work environment where innovation thrives. With a competitive salary of up to £190,000, significant equity opportunities, and access to cutting-edge resources, you will collaborate with leading experts in the field to drive impactful research in generative AI. The company fosters a culture of creativity and ambition, providing ample opportunities for professional development and the chance to make a real difference in the world of visual intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist (Diffusion Models) in London
✨Tip Number 1
Network with professionals in the AI and machine learning community, especially those who have experience with diffusion models. Attend relevant conferences or meetups to connect with potential colleagues and learn about the latest trends in generative AI.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects related to diffusion models or generative modelling. This not only demonstrates your skills but also helps you build a portfolio that can impress the hiring team.
✨Tip Number 3
Engage with the research community by following and interacting with leading researchers in the field on platforms like Twitter or LinkedIn. This can help you stay updated on the latest research and potentially lead to valuable connections.
✨Tip Number 4
Prepare to discuss your previous research and its real-world applications during interviews. Be ready to explain how your work aligns with the company's goals and how you can contribute to their ambitious projects in generative AI.
We think you need these skills to ace Research Scientist (Diffusion Models) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your PhD in Computer Vision or Machine Learning, along with any relevant publications at top-tier conferences. Emphasise your expertise in diffusion models and any hands-on experience with large-scale training of image or video models.
Craft a Compelling Cover Letter:In your cover letter, express your passion for generative AI and detail how your background aligns with the role. Mention specific projects or research that demonstrate your ability to contribute to diffusion-based generative modelling.
Showcase Relevant Experience:If you have experience contributing to large-scale training efforts beyond academia, be sure to include this in your application. Highlight any collaborative projects with engineers or other researchers that showcase your ability to bring models into real-world applications.
Proofread and Edit:Before submitting your application, carefully proofread all documents for clarity and correctness. Ensure that your language is professional and free of errors, as this reflects your attention to detail and commitment to quality.
How to prepare for a job interview at Revybe IT Recruitment Ltd
✨Showcase Your Expertise
Make sure to highlight your deep expertise in diffusion models during the interview. Be prepared to discuss your previous work, particularly any hands-on experience with large-scale training of image or video models, as this is crucial for the role.
✨Prepare for Technical Questions
Expect technical questions related to generative modelling and diffusion-based techniques. Brush up on recent advancements in the field and be ready to explain complex concepts clearly, as you’ll be working closely with senior researchers.
✨Demonstrate Your Research Impact
Discuss your publications at top-tier conferences and how your research has contributed to the field. This will show your potential employer that you can bring valuable insights and innovation to their team.
✨Express Your Passion for AI
Convey your enthusiasm for generative AI and your desire to push research into production. Companies are looking for self-starters who are not only knowledgeable but also passionate about making a real-world impact with their work.
