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.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a diverse culture that values different perspectives and fosters inclusion.
- Why this job: Make a real impact in AI while collaborating with top experts in the field.
- Qualifications: Ph.D. in AI research with 5+ years of experience and a strong publication record.
The predicted salary is between 100000 - 150000 £ 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 employer: Meta
Meta is an exceptional employer for AI Research Scientists, offering a dynamic work culture 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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI research community, attend relevant conferences, and engage in discussions. You never know who might have a lead on an opportunity or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Create a portfolio of your research work, publications, and projects. This will not only highlight your skills but also give potential employers a taste of what you can bring to the table.
✨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. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to reflect how your experience aligns with our mission and values.
We think you need these skills to ace AI Research Scientist - Leadership
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! We love it when candidates tailor their CV and cover letter to reflect the specific skills and experiences that align with our job description. It shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and achievements without wading through fluff.
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 and helps us keep track of all the amazing talent out there!
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 role involves influencing strategy and mentoring others, be ready to share examples of how you've led research teams or projects. Highlight any experiences where you resolved conflicts or built alignment across different teams, as this will demonstrate your ability to work collaboratively.
✨Prepare for Technical Questions
Brush up on your programming skills, particularly in Python or C/C++. Expect technical questions that assess your understanding of machine learning theory and large-scale model building. Practising coding problems or discussing algorithms can help you feel more confident.
✨Emphasise Inclusivity and Collaboration
Meta values a culture of inclusivity, so be prepared to discuss how you’ve fostered diverse perspectives in your previous roles. Share specific examples of how you’ve engaged with cross-functional teams and contributed to diversity and inclusion initiatives, as this aligns with their company values.
