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- Tasks: Design and develop innovative generative AI methodologies to tackle complex challenges.
- Company: Join DeepMind, a leader in AI research with a collaborative culture.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Other info: Work in a dynamic environment with excellent career advancement opportunities.
- Why this job: Make a real impact in AI while collaborating with top experts in the field.
- Qualifications: PhD in Computer Science or related field, with experience in deep learning and ML frameworks.
The predicted salary is between 60000 - 80000 £ per year.
Minimum qualifications:
- PhD in Computer Science, a related field, or equivalent practical experience.
- Publication record in machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, KDD, AAAI).
- Experience in advanced deep learning, with specific experience in foundational or practical contributions to diffusion models.
- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
Preferred qualifications:
- Passion for AI and a collaborative, open-minded approach to problem-solving.
About The Job:
Our mission is to design and develop novel generative methodologies from the ground up, deploying them to solve some of the most complex challenges across two distinct domains: media models and groundbreaking scientific discovery. In this role, you will actively collaborate with our colleagues in Amsterdam, including regular on-site visits. Serving as a critical bridge between core machine learning research and applied domains, you will utilize advanced diffusion techniques and novel generative methods to address ambitious problems in both media synthesis and science.
Responsibilities:
- Design, deploy, and accelerate generative models leveraging techniques like distillation to solve specific, high-complexity challenges.
- Maintain a flexible, problem-focused approach to research, identifying and utilizing the most effective algorithmic tools to overcome concrete technical roadblocks.
- Evaluate the datasets, training methodologies, and final outputs required to push the performance of large-scale, domain-specific generative models.
- Report developments and share deep scientific insights efficiently both verbally and in writing, mentoring peers and elevating the team’s overall technical capability.
Research Scientist, Generative AI, DeepMind employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Generative AI, DeepMind
✨Network Like a Pro
Get out there and connect with folks in the AI and machine learning community. Attend conferences, workshops, or even local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job!
✨Show Off Your Work
Make sure to have a portfolio ready that showcases your research and projects. Whether it's papers you've published or models you've built, we want to see your skills in action. A strong portfolio can really set you apart from the crowd!
✨Practice Your Pitch
When you get that interview, be ready to talk about your work and how it relates to the role. We suggest practising your pitch with friends or mentors. Being able to clearly communicate your ideas and experiences can make a huge difference!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at DeepMind!
We think you need these skills to ace Research Scientist, Generative AI, DeepMind
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your publication record in machine learning conferences or journals. We want to see your contributions to the field, so don’t hold back on showcasing your best work!
Tailor Your Application: When applying, tailor your CV and cover letter to reflect the specific qualifications mentioned in the job description. We love seeing how your experience aligns with our mission and the role's responsibilities.
Be Passionate About AI: Let your passion for AI shine through in your application. We’re looking for candidates who are not just qualified but also genuinely excited about solving complex challenges in generative methodologies.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at StudySmarter.
How to prepare for a job interview at Google DeepMind
✨Know Your Research Inside Out
Make sure you can discuss your PhD work and any publications in detail. Be prepared to explain your contributions to machine learning conferences and how they relate to generative AI, especially diffusion models.
✨Showcase Your Technical Skills
Familiarise yourself with the ML frameworks mentioned in the job description, like JAX, TensorFlow, or PyTorch. Be ready to discuss specific projects where you've used these tools and how they helped solve complex problems.
✨Demonstrate Collaborative Spirit
Since this role involves collaboration with colleagues in Amsterdam, highlight your experience working in teams. Share examples of how you’ve approached problem-solving in a collaborative manner and how you value diverse perspectives.
✨Communicate Clearly and Effectively
Practice explaining complex concepts in simple terms. You’ll need to report developments and share insights, so being able to communicate your ideas clearly, both verbally and in writing, is crucial for success.