Job Description
Meta is seeking a Research Engineer to join our Brain & AI team. This team is part of Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, and neuroscience, with a particular focus on deep learning, generative models, perception and natural language processing. The ideal candidate will have a keen interest in producing open science to understand and decode the mechanisms of intelligence in humans and machines. Responsibilities: Develop and evaluate scalable deep learning algorithms. Collaborate with FAIR scientists on novel research in generative modeling, complex systems, and reinforcement learning. Apply knowledge of relevant research domains and coding skills to platform and framework development projects. Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).
Good To Have:
- PhD in Computer Science, Artificial Intelligence, or related field
- Publication track record at conferences such as NeurIPS, ICML, ICLR
- Software engineer experience demonstrated via an internship, work experience, coding competitions
Must Have:
- Bachelor's degree in Computer Science, Computer Engineering, or related field
- Experience developing machine learning algorithms or infrastructure in Python and PyTorch
- Strong experience in deep learning: supervised, semi-supervised, self-supervised learning and/or generative modeling
- Industry research experience in generative AI (language, image, videos)
Meta is seeking a Research Engineer to join our Brain & AI team. This team is part of Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI.
Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, and neuroscience, with a particular focus on deep learning, generative models, perception and natural language processing.
The ideal candidate will have a keen interest in producing open science to understand and decode the mechanisms of intelligence in humans and machines.
Research Engineer - Brain & AI Responsibilities
- Develop and evaluate scalable deep learning algorithms.
- Collaborate with FAIR scientists on novel research in generative modeling, complex systems, and reinforcement learning.
- Apply knowledge of relevant research domains and coding skills to platform and framework development projects.
- Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).
Minimum Qualifications
- Has a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience developing machine learning algorithms or machine learning infrastructure in Python and PyTorch and Slurm.
- Strong experience in deep learning: supervised, semi-supervised, self-supervised learning and/or generative modeling.
- Industry research experience in generative AI (language, image, videos).
Preferred Qualifications
- Has a PhD in the field of Computer Science, Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Publication track record at conferences such as NeurIPS, ICML, ICLR, etc.
- Software engineer experience demonstrated via an internship, work experience, coding competitions.
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Data Center
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 .
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 .
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