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$122k–$181k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Benefits
Posted 65d ago
~40 hrs/week
Responsibilities
Conduct research to advance the science of intelligent machines and develop next-generation frontier agentic systems. Contribute to the open-source community through high-quality code and publish state-of-the-art research in peer-reviewed venues.
Requirements
Requires a Bachelor's degree in Computer Science or a related technical field with a track record of first-authored publications at major AI conferences. Proficiency in Python and deep learning frameworks like PyTorch is essential.
Full job description
Meta is seeking a Research Scientist to join Meta Superintelligence Labs (MSL). The position is with Fundamental AI Research (FAIR), AI research lab developing new architectures, capabilities and training paradigms to advance the frontier of AI. Researchers will drive impact by building the next generation of frontier agentic systems and products that connect billions of users, while contributing high quality code and reproducible results to the open source community. There is also an opportunity to publish state-of-the-art research. They will work with an interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting-edge technology, resources, and research facilities.
Responsibilities
Perform research to advance the science and the technology of intelligent machines
Work towards long-term ambitious research goals, while identifying intermediate milestones
Influence the progress of relevant research communities by producing publications
Open-source high-quality code and generate reproducible science
Minimum Qualifications
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
First-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, ACL, EMNLP, and other venues, reflecting experience in machine learning
Research background in machine learning, artificial intelligence, theoretical physics, applied mathematics, or related areas
Proficiency in Python and deep learning frameworks such as PyTorch or comparable tools, with experience utilizing AI-powered coding assistants in development workflows
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
Currently has, or is in the process of obtaining a PhD in Computer Science, Applied Mathematics, Theoretical Physics, or a relevant technical field
Experience with large-scale model training, including distributed training strategies, mixed-precision training, or efficient fine-tuning methods such as parameter-efficient adaptation techniques
Experience collaborating with product or engineering teams to transition research prototypes into deployed AI systems at scale
Track record of contributing to peer-reviewed AI research publications or open-source machine learning projects
Familiarity with generative AI systems, including language model pre-training, instruction tuning, reinforcement learning from human feedback, or multimodal architectures
$122,000/year to $181,000/year + bonus + equity + benefits
Related keywords
Artificial IntelligenceMachine LearningPyTorchPythonGenerative AILarge Language ModelsDistributed TrainingICMLNeurIPSICLRACLEMNLPOpen SourceAgentic SystemsMultimodal ArchitecturesRLHF
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Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US