AI Research Assistant (PhD) Full-time

AI Research Assistant (PhD)

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London, UK

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Meta is seeking PhD Students through 4-year fixed term contracts to join our Fundamental AI Research (FAIR) Lab in London. We are committed to advancing the field of artificial intelligence by making fundamental advances in scientific methods and technologies to help interact with and understand our world. In London, we are specifically working on natural language processing, 3D computer vision and reinforcement learning and are looking for individuals passionate in these areas. PhD students joining our team are jointly supervised by academics at the partnering academic lab (University of Oxford) and Research Scientists at FAIR. In the spirit of FAIR’s general mission, we expect the work to come out of the PhD, both at Meta and the academic partner, to be open science and open source. Applicants will also need to separately apply to Oxford before the application deadline at noon (GMT) on December 3, 2024 and mention their FAIR application in the application forms here: https://www.ox.ac.uk/admissions/graduate/courses/dphil-engineering-science

AI Research Assistant (PhD) Responsibilities

• Perform research to advance the science and technology of intelligent systems
• Perform research that improves computational understanding and representation of data
• Influence progress of relevant research communities by producing publications
• Collaborate and increase productivity on existing research projects

Minimum Qualifications

• Seeking to obtain a PhD degree
• Knowledge in Machine Learning
• Knowledge in a programming language
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorisation during employment

Preferred Qualifications

• Masters degree in a technical field such as Computer Science, Applied Mathematics, or equivalent practical experience
• Experience building systems based on machine learning and/or deep learning methods
• Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions
• Knowledge in Python, Lua, C++, C, C# and/or Java
• Publications or experience in fields related to machine learning, AI, computer vision, natural language processing, computational neuroscience, optimisation, computer science, statistics, applied mathematics, or data science

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About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity and Affirmative Action

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com .