At a Glance
- Tasks: Conduct groundbreaking AI research and collaborate with top academics in London.
- Company: Join Meta's FAIR team, a leader in AI innovation.
- Benefits: Gain invaluable experience, mentorship, and access to cutting-edge resources.
- Other info: 4-year PhD position with excellent career development opportunities.
- Why this job: Make a real impact on AI safety and accuracy while contributing to open science.
- Qualifications: Knowledge in machine learning and programming; passion for AI research.
The predicted salary is between 30000 - 40000 £ per year.
Meta is seeking a PhD Student to join its Fundamental AI Research (FAIR) team in London. We are committed to advancing the field of artificial intelligence by making fundamental advances in scientific methods and technologies to help interact with and understand our world. In London, we are specifically working on natural language processing, 3D computer vision, and reinforcement learning. For this position, we are looking for an individual passionate about furthering our understanding of large foundation models and making them safer and more accurate.
PhD positions are 4-year fixed-term for PhD students in London who will work in collaboration with the UCL Centre for Artificial Intelligence, jointly supervised by academics at this lab and research scientists at FAIR. In the spirit of FAIR’s general mission, we expect the work to come out of the PhD, both at Meta and the academic partner, to be open science and open source.
Responsibilities
- Perform research to advance the science and technology of intelligent systems.
- Perform research to understand the mechanisms learned by foundation models.
- Influence progress of relevant research communities by producing publications.
- Collaborate and increase productivity on existing research projects.
Minimum Qualifications
- Knowledge in Machine Learning.
- Knowledge in a programming language.
- Must obtain work authorisation in the country of employment at the time of hire, and maintain ongoing work authorisation during employment.
- Applicants will need to separately apply and be accepted to UCL, and mention their FAIR application in the UCL application form.
Preferred Qualifications
- Bachelors or Masters degree (or equivalent) in a technical field such as Computer Science, Applied Mathematics, or equivalent practical experience.
- Experience building systems based on machine learning and/or deep learning methods.
- Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions.
- Knowledge in Python, Lua, C++, C, C# and/or Java.
- Publications or experience in fields related to machine learning, AI, computer vision, natural language processing, computational neuroscience, optimisation, computer science, statistics, applied mathematics, or data science.
PhD Candidate, AI Research — Foundation Models & Open Science employer: Meta Platforms, Inc.
Meta is an exceptional employer for aspiring AI researchers, offering a unique opportunity to work alongside leading academics at UCL and experienced scientists in a collaborative environment. Our London office fosters a culture of innovation and open science, providing PhD candidates with the resources and support needed to advance their research while contributing to meaningful projects that impact the future of artificial intelligence. With a commitment to employee growth and a vibrant work culture, Meta stands out as a place where your passion for AI can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Candidate, AI Research — Foundation Models & Open Science
✨Tip Number 1
Network like a pro! Reach out to current PhD candidates or researchers in AI, especially those at Meta or UCL. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your passion! When you get the chance to interview, share your excitement about AI and open science. Let them know how you plan to contribute to their mission of advancing the field.
✨Tip Number 3
Prepare for technical questions! Brush up on your machine learning knowledge and coding skills. Practising common interview problems can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace PhD Candidate, AI Research — Foundation Models & Open Science
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and research shine through. We want to see that you’re genuinely excited about advancing the field and contributing to open science.
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and programming. We love seeing how your background aligns with our focus areas like natural language processing and computer vision.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this PhD position. Be specific about your research interests and how they connect to our work at FAIR.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and foundation models. Be ready to discuss specific projects you've worked on, especially those involving natural language processing or computer vision. This shows your passion and expertise in the field.
✨Show Your Coding Skills
Since programming is key for this role, be prepared to demonstrate your coding abilities. Bring examples of your work in Python, C++, or any other relevant languages. You might even want to solve a coding challenge during the interview, so practice beforehand!
✨Research the Company
Familiarise yourself with Meta's FAIR team and their recent publications. Understanding their mission and current projects will help you align your answers with their goals and show that you're genuinely interested in contributing to their work.
✨Prepare Questions
Have a few thoughtful questions ready to ask your interviewers. This could be about their research focus, collaboration with UCL, or how they approach open science. It demonstrates your enthusiasm and helps you gauge if the position is the right fit for you.
