At a Glance
- Tasks: Lead groundbreaking AI research and influence strategies for intelligent machines.
- Company: Join Meta's innovative FAIR team, pushing the boundaries of AI technology.
- Benefits: Competitive salary, opportunities for mentorship, and a culture of inclusivity.
- Other info: Dynamic environment with opportunities for career growth and cross-functional collaboration.
- Why this job: Make a real impact in AI while collaborating with top experts in the field.
- Qualifications: Ph.D. in AI research with a strong publication record and leadership experience.
The predicted salary is between 80000 - 120000 £ per year.
About the Role
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
Meta is an exceptional employer for AI Research Scientists, offering a dynamic work environment that fosters innovation and collaboration. With a strong 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-class experts, making it an ideal place 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. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can display your research, publications, and projects. This gives potential employers a clear view of what you bring to the table, and we love seeing candidates who take initiative.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts in a way that’s easy to understand. Practice with friends or colleagues, and remember, we’re here to help you refine those skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else. So, get clicking and let’s land that dream job together!
We think you need these skills to ace AI Research Scientist - Leadership in London
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your experience in AI research, especially any groundbreaking work you've done. We want to see your track record of high-impact publications and how you've influenced the field.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect how your skills and experiences align with our needs at StudySmarter. This shows us you’re genuinely interested in the role.
Communicate Clearly:Remember, we value clear communication. When describing your research, make it accessible for both technical and non-technical audiences. This will demonstrate your ability to engage with diverse teams.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Meta
✨Know Your Research Inside Out
Make sure you can discuss your past research in detail, especially any high-impact publications. Be prepared to explain the significance of your work and how it relates 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 ready to share examples of how you've influenced research strategies or mentored others. Highlight specific instances where you've resolved conflicts or built alignment across teams, as these are crucial for the role.
✨Prepare for Technical Questions
Brush up on your programming skills, particularly in Python or C/C++. Expect technical questions that assess your ability to build and analyse large-scale models. Practising coding problems or discussing your approach to debugging can give you an edge.
✨Emphasise Inclusivity and Collaboration
Meta values diverse perspectives, so be ready to discuss how you've fostered inclusive behaviours in your previous roles. Share experiences where you've collaborated with cross-functional teams, as this will demonstrate your ability to work effectively in a diverse environment.
