At a Glance
- Tasks: Lead groundbreaking AI research and develop intelligent machine technologies.
- Company: Join Meta's innovative AI Research Team, shaping the future of technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic global team with a focus on ambitious research goals.
- Why this job: Make a real impact in AI and collaborate with top experts in the field.
- Qualifications: Ph.D. in relevant fields and proven AI research experience required.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Meta is seeking Research Scientists to join our AI Research Team, a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such 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 data representation. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent.
Responsibilities
- Lead research 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)
- Devise better data-driven models of human behavior
- Work towards long-term ambitious research goals, while identifying intermediate milestones
- Influence progress of relevant research communities by producing publications
- Contribute research that can be applied to Facebook product development
- Lead and collaborate on research projects within a globally based team
Minimum Qualifications
- Experience holding a faculty, industry, or government researcher position
- Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
- Experience in theoretical and empirical research and for addressing research problems
- Experience communicating research for public audiences of peers
- Knowledge in a programming language
- Proven work experience in a university or industry lab(s), in a role with primary emphasis on AI research
Preferred Qualifications
- Experience driving original scholarship in collaboration with a team
- 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 in developing and debugging in C/C++, Python, or C#
AI Research Scientist employer: Meta
Meta is an exceptional employer for AI Research Scientists, offering a dynamic work culture that fosters innovation and collaboration among leading experts in artificial intelligence. Located at the forefront of technology, employees benefit from unparalleled opportunities for professional growth, access to cutting-edge resources, and the chance to contribute to groundbreaking research that shapes the future of intelligent machines. With a commitment to advancing science and technology, Meta provides a stimulating environment where your contributions can directly impact product development and the broader research community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any cool AI models you've developed. This is your chance to shine and demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common AI-related questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Research Scientist
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your experience and expertise in AI, machine learning, and related fields. We want to see your Ph.D. and any publications you've got under your belt, so don’t hold back!
Tailor Your Application:Customise your application to reflect the specific skills and experiences mentioned in the job description. We love seeing how your background aligns with our goals, so make it personal!
Communicate Clearly:When writing about your research, keep it clear and engaging. Remember, we’re looking for someone who can communicate complex ideas effectively, so show us you can do just that!
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 the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Meta
✨Know Your Research Inside Out
Make sure you can discuss your past research in detail. Be prepared to explain your methodologies, findings, and how they relate to the role at Meta. This shows that you're not just knowledgeable but also passionate about your work.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in AI and machine learning. Being able to discuss recent papers or breakthroughs during your interview will demonstrate your commitment to the field and your ability to contribute to ongoing research.
✨Prepare for Technical Questions
Expect to face technical questions related to AI, machine learning, and programming languages like Python or C++. Brush up on your coding skills and be ready to solve problems on the spot, as this is a key part of the role.
✨Showcase Your Collaboration Skills
Since the role involves working within a globally based team, highlight your experience in collaborative projects. Share examples of how you've successfully worked with others to achieve research goals, as teamwork is crucial in this position.
