At a Glance
- Tasks: Lead groundbreaking AI research and develop intelligent machine technologies.
- Company: Join Meta's innovative AI Research Team, shaping the future of technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and global collaboration.
- 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/ML research required.
The predicted salary is between 60000 - 80000 £ per year.
Meta is seeking a Research Scientist to join our 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 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 Meta's product development
- Lead and collaborate on research projects within a globally based team
- Mentor other team members. Arbitrate in cases of technical disagreement among team members. Play a significant role to have a healthy cross-functional collaboration.
Minimum Qualifications
- 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
- Experience leading a team in solving modeling problems using AI/ML approaches
- Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
- Experience communicating research for public audiences of peers
- Experience holding a faculty, industry, or government researcher position
- Experience in theoretical and empirical research and for addressing research problems
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
- Experience in developing and debugging in C/C++, Python, or C#
- First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
- Experience driving original scholarship in collaboration with a team
- 1+ year(s) of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research
AI Research Scientist, Fundamental Core ML employer: Meta Platforms, Inc.
Meta is an exceptional employer for AI Research Scientists, offering a dynamic work culture that fosters innovation and collaboration. With access to cutting-edge resources and a global team of experts, employees are encouraged to pursue ambitious research goals while benefiting from mentorship and professional growth opportunities. Located in a vibrant tech hub, Meta provides a unique environment where meaningful contributions to AI can directly influence product development and the broader research community.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Scientist, Fundamental Core ML
✨Tip Number 1
Network like a pro! Reach out to folks in the AI research community, attend conferences, and join online forums. You never know who might have a lead on your dream job at Meta!
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research, publications, and projects. This will help you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your research in detail. Practice explaining complex concepts in simple terms – it’s key for communicating with peers!
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. Let’s get you that AI Research Scientist position!
We think you need these skills to ace AI Research Scientist, Fundamental Core ML
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your experience and knowledge in AI, ML, and related fields. We want to see your journey through research, publications, and any cool projects you've led. This is your chance to shine!
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 match the job description. It shows us you’re genuinely interested in the role.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it’s necessary, and make sure your passion for AI comes through!
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. Plus, it makes the whole process smoother for both of us!
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 any relevant publications. Be prepared to discuss your findings, methodologies, and how they relate to the role at Meta. This shows not only your expertise but also your passion for advancing AI.
✨Brush Up on Technical Skills
Since the role requires knowledge in programming languages like Python or C++, ensure you can demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning and AI.
✨Prepare for Collaborative Scenarios
Given the emphasis on teamwork, think of examples where you've successfully collaborated on research projects. Be ready to discuss how you handle disagreements and mentor others, as these are key aspects of the role.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends and breakthroughs in AI and machine learning. Being able to discuss current advancements and how they could impact Meta’s work will show that you’re not just knowledgeable but also forward-thinking.
