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 team environment with mentorship opportunities and global collaboration.
- Why this job: Make a real impact in AI and collaborate with top experts in the field.
- Qualifications: Ph.D. in relevant fields and experience in AI/ML research required.
The predicted salary is between 60000 - 80000 £ per year.
Meta is seeking a Research Scientist 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 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 Meta's product development
- Lead and collaborate on research projects within a globally based team
- Mentor other team members
- Arbitrate in cases of technical disagreement among team members
- Play a significant role to have a healthy cross-functional collaboration
Minimum Qualifications
- Knowledge in a programming language
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Experience leading a team in solving modeling problems using AI/ML approaches
- Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
- Experience communicating research for public audiences of peers
- Experience holding a faculty, industry, or government researcher position
- Experience in theoretical and empirical research and for addressing research problems
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- Experience in developing and debugging in C/C++, Python, or C#
- First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
- Experience driving original scholarship in collaboration with a team
- 1+ year(s) of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research
AI Research Scientist, Fundamental Core ML in London employer: Meta Platforms, Inc.
Meta is an exceptional employer for AI Research Scientists, offering a dynamic work culture that fosters innovation and collaboration. With access to cutting-edge resources and a global team of experts, employees are encouraged to lead ambitious research projects while benefiting from mentorship and professional growth opportunities. Located in a vibrant tech hub, Meta provides a unique environment where meaningful contributions to AI can directly influence product development and the broader research community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Scientist, Fundamental Core ML in London
✨Tip Number 1
Network like a pro! Reach out to fellow researchers and professionals in AI and ML. Attend conferences, webinars, or local meetups to connect with people who can help you land that dream job at Meta.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any relevant coding work. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your research in simple terms, as you'll need to communicate complex ideas clearly to a diverse audience.
✨Tip Number 4
Don't forget to apply through our website! We want to see your application and get to know you better. Make sure to tailor your application to highlight how your experience aligns with the role of AI Research Scientist.
We think you need these skills to ace AI Research Scientist, Fundamental Core ML in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and ML, especially any leadership roles you've had. We want to see how your background aligns with the responsibilities of the AI Research Scientist role.
Showcase Your Publications:If you've got first-author publications or have presented at conferences like NeurIPS or ICML, flaunt them! We love seeing your research contributions and how they relate to our work.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI and how you can contribute to our team. Be specific about your research interests and goals.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and the latest advancements in AI and machine learning. Be prepared to discuss your publications and how they relate to the role at Meta. This shows your passion and expertise, which is crucial for a position like this.
✨Showcase Your Team Leadership Skills
Since the role involves leading research and mentoring others, be ready to share examples of how you've successfully led teams in the past. Highlight specific projects where you resolved technical disagreements or fostered collaboration, as this will demonstrate your ability to thrive in a cross-functional environment.
✨Prepare for Technical Questions
Expect to face some challenging technical questions related to AI/ML approaches. Brush up on your programming skills in languages like Python or C++, and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident.
✨Communicate Clearly and Effectively
You’ll need to convey complex ideas to both peers and non-experts. Practice explaining your research in simple terms, and think about how it can be applied to Meta’s products. Clear communication can set you apart from other candidates.
