At a Glance
- Tasks: Lead groundbreaking research in Generative AI and collaborate with a global team.
- Company: Join Meta, a leader in AI innovation and technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team pushing the boundaries of technology.
- Why this job: Make a real impact on the future of AI and intelligent machines.
- Qualifications: PhD in AI or related fields with strong research experience.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Meta is seeking AI Research Scientists to join its Generative AI efforts. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and speech. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent, or to work on more applied problems across the company.
Responsibilities
- Lead and collaborate on research projects within a globally based team to advance the science and technology of intelligent machines.
- Lead research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).
- Work towards long-term ambitious research goals, while identifying intermediate milestones.
- Drive team goals & technical direction to pursue opportunities that make your larger organization more efficient.
- Influence progress of relevant research communities by producing publications.
- Contribute research that can be applied to Meta product development.
- Devise better data-driven models of human behavior.
Minimum Qualifications
- Ph.D. and publications in machine learning, AI, computer vision, computer graphics.
- Proven work experience in a university or industry lab(s), in a lead role with primary emphasis on AI research.
- Experience in theoretical and empirical research and for addressing research problems.
- Experience communicating research for public audiences of peers.
- Knowledge in a programming language.
Preferred Qualifications
- Experience leading a team in solving modeling problems using AI/ML approaches.
- First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP).
- Experience driving original scholarship in collaboration with a team.
- Experience in developing and debugging in C/C++, Python, or C#.
Research Scientist, Generative AI (PhD) in London employer: Meta
Meta is an exceptional employer for Research Scientists in Generative AI, offering a dynamic work culture that fosters innovation and collaboration among a globally diverse team. With a strong emphasis on employee growth, Meta provides ample opportunities for professional development through cutting-edge research projects and the chance to influence advancements in AI technology. Located at the forefront of technological advancement, employees benefit from a stimulating environment that encourages creativity and the pursuit of ambitious research goals.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Generative AI (PhD) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and research. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in AI and machine learning. Practice explaining your research clearly, as if you're talking to someone outside your field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in AI research. Your next big opportunity could be just a click away!
We think you need these skills to ace Research Scientist, Generative AI (PhD) in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and generative models shine through. We want to see your genuine interest in pushing the boundaries of technology and how it can make computers smarter.
Highlight Relevant Experience:Make sure to detail your experience in AI research, especially any projects that align with our focus areas like deep learning or natural language processing. We love seeing how your background fits into our mission!
Be Clear and Concise:While we appreciate a good story, keep your application clear and to the point. Use straightforward language to explain your research contributions and how they relate to the role. We’re all about efficiency!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Meta
✨Know Your Research Inside Out
Make sure you can discuss your past research projects in detail. Be prepared to explain your methodologies, findings, and how they relate to the role at Meta. This shows your depth of knowledge and passion for AI.
✨Familiarise Yourself with Meta's Work
Research Meta's current projects in generative AI and related fields. Understanding their goals and challenges will help you tailor your responses and demonstrate how your skills can contribute to their mission.
✨Prepare for Technical Questions
Brush up on key concepts in machine learning, deep learning, and natural language processing. Be ready to solve problems on the spot or discuss your approach to tackling complex modelling issues, as this is crucial for the role.
✨Showcase Your Collaboration Skills
Since the role involves leading and collaborating with a global team, be ready to share examples of how you've successfully worked in teams. Highlight your leadership experiences and how you’ve influenced research outcomes in collaborative settings.
