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: Dynamic environment with a focus on collaboration and cutting-edge advancements.
- 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.
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.
- 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.
- 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) 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 commitment to 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)
✨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 work! Create a portfolio or a personal website showcasing your research and projects. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and research topics. Practice explaining your work clearly and confidently, as if you're presenting to a non-expert audience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed directly by our hiring team.
We think you need these skills to ace Research Scientist, Generative AI (PhD)
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 how your interests align with our mission at StudySmarter, so don’t hold back on sharing what excites you about the field!
Highlight Relevant Experience:Make sure to detail your experience in AI research, especially any projects that relate to deep learning or natural language processing. We love seeing how your past work can contribute to our goals, so be specific about your achievements and publications.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the skills and experiences mentioned in the job description. We appreciate when candidates show they’ve done their homework and understand what we’re looking for.
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 our team and culture!
How to prepare for a job interview at Meta
✨Know Your Research Inside Out
Make sure you can discuss your PhD research and any publications 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 the field.
✨Showcase Your Collaboration Skills
Since the role involves leading and collaborating on research projects, be ready to share examples of how you've worked effectively in teams. Highlight any leadership experiences and how you’ve driven team goals in past projects.
✨Prepare for Technical Questions
Brush up on key concepts in AI, machine learning, and the specific areas mentioned in the job description. Expect questions that test your understanding of deep learning, reinforcement learning, and data semantics. Practising coding problems in Python or C++ can also be beneficial.
✨Communicate Clearly and Confidently
You’ll need to convey complex ideas to both technical and non-technical audiences. Practice explaining your research in simple terms and be ready to discuss how it can be applied to Meta’s products. Clear communication can set you apart from other candidates.
