Research Scientist, Artificial Intelligence

Research Scientist, Artificial Intelligence# Research Scientist, Artificial Intelligence Menlo Park, CA+1 location

Artificial Intelligence+ 1 more Apply nowMeta 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.

---## Research Scientist, Artificial Intelligence 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---## 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 Whats App 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.

For those who live in or expect to work from California if hired for this position, please  for additional information.$122,000/year to $181,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.## Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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