At a Glance
- Tasks: Lead groundbreaking AI research and drive innovative strategies for intelligent machines.
- Company: Join Meta's Fundamental AI Research (FAIR) team, a leader in AI breakthroughs.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment focused on diversity, inclusion, and cross-functional partnerships.
- Why this job: Make a real impact in AI while mentoring the next generation of researchers.
- Qualifications: Ph.D. with 5+ years in AI research and a strong publication record.
The predicted salary is between 80000 - 120000 £ per year.
Meta is seeking a Principal Research Scientist to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Individuals in this role are expected to be world‑leading experts in research areas such as ML theory, Responsible AI, reinforcement learning, computer vision, audio, and/or NLP. The ideal candidate for this position will have a track record in producing new science that is seminal to understanding intelligence, with particular experience in building and analyzing large‑scale models for vision, language, speech, or general agents.
Responsibilities
- Influence and drive strategy for long‑term ambitious research to advance the science and technology of intelligent machines.
- Form internal partnerships, influence, resolve conflict, build alignment, and work effectively across teams and disciplines throughout the company to execute the strategy.
- Call out opportunities and risks across multiple research teams.
- Influence progress of relevant research communities by producing publications.
- Contribute research that can be applied to Meta product development.
- Be a role model for inclusive behaviours and a culture that values, respects and taps into different backgrounds and perspectives.
- Mentor researchers.
- Make the company better through engaging in cross‑company efforts like recruiting, cross‑functional partnerships, diversity & inclusion initiatives, or site initiatives.
Minimum Qualifications
- 5+ years of work experience in a faculty, industry, or government research position with primary emphasis on AI research.
- Ph.D. and established track record of leading influential research, e.g. as evidenced by high‑impact publications at peer‑reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP).
- Experience building and executing on long‑term research strategies.
- Experience communicating research for public audiences of peers, as well as non‑technical audiences.
- Knowledge in a programming language.
Preferred Qualifications
- 10+ years of work experience in a faculty, industry, or government research position with primary emphasis on AI research.
- Track record of translating research into business impact.
- Experience working with a variety of cross‑functional peers and stakeholders (e.g., product managers, data scientists, designers, engineers, policy, communications, marketing).
- Experience in developing and debugging in Python or C/C++.
- Experience and/or interest in managing research teams in an industrial setting.
AI - Research Scientist (Leadership) 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 a commitment to diversity and inclusion, employees are encouraged to bring their unique perspectives to the table, while also benefiting from extensive mentorship and professional growth opportunities. Located in a vibrant tech hub, Meta provides access to cutting-edge resources and a network of world-leading experts, making it an ideal environment for those looking to make significant contributions to the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI - Research Scientist (Leadership) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend relevant conferences, and engage with online communities. You never know who might have a lead on that perfect role or can introduce you to someone at Meta.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research, publications, and any projects you've worked on. This will help you stand out and demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex concepts in simple terms, as you'll need to engage with both technical and non-technical audiences at Meta.
✨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 AI - Research Scientist (Leadership) in London
Some tips for your application 🫡
Showcase Your Expertise:Make sure to highlight your experience in AI research, especially any high-impact publications you've contributed to. We want to see how your work aligns with the cutting-edge research we do at Meta.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background to our needs.
Communicate Clearly:Remember, you’ll be communicating complex ideas to both technical and non-technical audiences. Use clear, concise language in your application to demonstrate your ability to convey your research effectively.
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 shows you’re serious about joining our team!
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 its implications. Be ready to discuss your past work, especially any high-impact publications, and how they relate to the role at Meta. This shows you’re not just knowledgeable but also passionate about your contributions to AI.
✨Showcase Your Leadership Skills
Since this is a leadership position, be prepared to share examples of how you've influenced research strategies or mentored others. Highlight your experience in building cross-functional partnerships and resolving conflicts, as these are key to driving ambitious research.
✨Communicate Clearly and Effectively
You’ll need to convey complex ideas to both technical and non-technical audiences. Practice explaining your research in simple terms and think about how it can be applied to real-world problems. This will demonstrate your ability to bridge the gap between research and product development.
✨Emphasise Inclusivity and Collaboration
Meta values diverse perspectives, so be ready to discuss how you’ve fostered an inclusive environment in your previous roles. Share experiences where you’ve engaged with different backgrounds and how that has enriched your research and team dynamics.
