At a Glance
- Tasks: Lead groundbreaking research in AI and machine learning to advance intelligent machines.
- Company: Join Facebook's innovative AI Research Team, shaping the future of technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic global team with a focus on ambitious long-term research goals.
- 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 research and team leadership.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Facebook is seeking a Research Scientist to join its 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, speech 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 Facebook product development.
- Lead and collaborate on research projects within a globally based team.
Minimum Qualifications
- Experience holding a faculty, industry, or government researcher position.
- Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
- Experience leading a team in solving modeling problems using AI/ML approaches.
- Experience in theoretical and empirical research and for addressing research problems.
- Experience communicating research for public audiences of peers.
- 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.
Preferred Qualifications
- 1+ year(s) of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research.
- Experience driving original scholarship in collaboration with a team.
- First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- Experience in developing and debugging in C/C++, Python, or C#.
Research Scientist, Vision employer: Meta
Facebook is an exceptional employer for Research Scientists, offering a dynamic work culture that fosters innovation and collaboration within its AI Research Team. Employees benefit from access to cutting-edge technology, opportunities for professional growth through impactful research projects, and the chance to contribute to advancements in artificial intelligence that shape the future of technology. Located in a vibrant tech hub, Facebook provides a stimulating environment where creativity thrives and meaningful contributions are recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Vision
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and research community. Attend conferences, webinars, or local meetups to meet potential collaborators or employers. Remember, it’s all about who you know!
✨Tip Number 2
Show off your work! Create a portfolio showcasing your research projects, publications, and any relevant coding skills. 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 soft skills. Practice explaining your research in simple terms, as you might need to communicate complex ideas to non-experts.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Keep an eye on our job listings and make sure your application stands out!
We think you need these skills to ace Research Scientist, Vision
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your experience and expertise in AI, machine learning, and related fields. We want to see your Ph.D. and any publications you've got under your belt, so don’t hold back!
Tailor Your Application:Customise your application to reflect the specific requirements of the Research Scientist role. Use keywords from the job description to show that you understand what we’re looking for and how you fit in.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read, so avoid jargon unless it's necessary to showcase your skills.
Apply Through Our Website:Don’t forget to apply 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 keen on joining our team!
How to prepare for a job interview at Meta
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and publications. Be ready to discuss your findings, methodologies, and the implications of your work. This will show that you’re not just knowledgeable but also passionate about your field.
✨Familiarise Yourself with AI Trends
Stay updated on the latest advancements in AI and machine learning. Being able to discuss current trends and how they relate to your work will demonstrate your commitment to the field and your ability to contribute to ongoing projects.
✨Prepare for Technical Questions
Expect to face technical questions related to AI, machine learning, and programming languages like Python or C++. Brush up on key concepts and be prepared to solve problems on the spot. Practising with peers can help you feel more confident.
✨Showcase Your Collaboration Skills
Since this role involves leading and collaborating with a global team, be ready to share examples of past teamwork experiences. Highlight how you’ve successfully worked with others to achieve research goals, as this will be crucial for the position.
