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 while collaborating with top experts in the field.
- Qualifications: Ph.D. in relevant fields and experience in AI/ML research leadership.
The predicted salary is between 80000 - 100000 £ 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 and 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
Lead AI Research Scientist, Core ML & Foundations employer: Meta Platforms, Inc.
Meta is an exceptional employer for those passionate about advancing artificial intelligence, offering a dynamic work culture that fosters innovation and collaboration. With a commitment to employee growth, team members are encouraged to lead groundbreaking research while benefiting from mentorship opportunities and the chance to influence the future of technology. Located in a vibrant tech hub, employees enjoy access to cutting-edge resources and a community of like-minded experts dedicated to pushing the boundaries of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Research Scientist, Core ML & Foundations
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML fields. Attend conferences, webinars, or local meetups to meet potential collaborators or mentors. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research projects, publications, and any relevant work. This will help you stand out when chatting with recruiters or during interviews. Remember, we want to see your passion for AI and ML!
✨Tip Number 3
Practice makes perfect! Prepare for interviews by simulating technical discussions or presenting your research. Get a friend or colleague to quiz you on your knowledge. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that dream role in AI research!
We think you need these skills to ace Lead AI Research Scientist, Core ML & Foundations
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your experience and knowledge in AI, ML, and related fields. We want to see your journey through your Ph.D. and any publications you've contributed to. This is your chance to shine!
Tailor Your Application:Don’t just send a generic application! We love it when candidates tailor their CV and cover letter to reflect the specific skills and experiences that match our job description. It shows us you’re genuinely interested in the role.
Be Clear and Concise:When writing your application, clarity is key. We appreciate well-structured documents that get straight to the point. Avoid jargon unless it’s necessary, and make sure your passion for AI research comes through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it makes the process smoother for both you and us!
How to prepare for a job interview at Meta Platforms, Inc.
✨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 not only your expertise but also your passion for advancing AI.
✨Showcase Your Team Leadership Skills
Since this role involves leading a team, be ready to share examples of how you've successfully managed projects and mentored others. Highlight any experiences where you resolved conflicts or facilitated collaboration among team members.
✨Prepare for Technical Questions
Brush up on your programming skills, especially in languages like Python or C++. Expect technical questions that assess your problem-solving abilities in AI/ML contexts. Practising coding challenges can help you feel more confident.
✨Engage with the Research Community
Demonstrate your involvement in the AI research community by discussing your publications and any conferences you've attended. This shows that you're not just a researcher but an active participant in advancing the field.
