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 in London employer: Meta
Facebook is an exceptional employer for Research Scientists, particularly in the vibrant tech hub of Silicon Valley, where innovation thrives. With a strong commitment to employee growth, Facebook offers unparalleled opportunities for collaboration on groundbreaking AI research, access to cutting-edge resources, and a culture that fosters creativity and diversity. Employees benefit from a supportive environment that encourages continuous learning and impactful contributions to the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Vision in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at conferences. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects and publications. We recommend having a personal website where you can highlight your work and make it easy for potential employers to see what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and being ready to discuss your research in detail. We suggest doing mock interviews with friends or colleagues to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Research Scientist, Vision in London
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 get straight to the heart of your qualifications and experiences without unnecessary fluff.
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’s super easy to do!
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 any relevant publications. Be prepared to discuss your findings, methodologies, and how they relate to the role at Facebook. This shows not only your expertise but also your passion for advancing AI.
✨Showcase Your Collaboration Skills
Since the role involves leading and collaborating on research projects, be ready to share examples of successful teamwork. Highlight how you’ve worked with diverse teams and contributed to collective goals, as this will resonate well with their emphasis on collaboration.
✨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 problems or discussing algorithms can give you an edge.
✨Align Your Goals with Their Vision
Research Facebook’s current projects and long-term goals in AI. Be ready to articulate how your ambitions align with theirs, particularly in terms of producing impactful research that can influence product development. This demonstrates your commitment to contributing meaningfully.
