Fundamental AI Research Scientist, Language - FAIR
Menlo Park, CA • Seattle, WA • New York, NY • Full Time+ 2 more•Full Time
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Meta
AI Research
Research
Meta is looking for a Research Scientist to join its Fundamental AI Research (FAIR) organization, an organization focused on making significant advances in AI. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community.
We are seeking a Research Scientist to help develop novel foundation model architectures to (1) enable better reasoning over memory, learning of knowledge, and improvements in factuality/hallucination; (2) apply memory to personalization and language model agents including multi-agent collaborative reasoning; and (3) build the next generation of foundational multimodal language models. This role will be best aligned to researchers who can be considered recognized experts in the fields of natural language processing (LLMs) and core learning with interest to contribute their research to top tier AI/ML conference venues.
A research scientist in this role will drive impact by (1) contributing to state-of-the-art research publications, (2) open-sourcing high-quality code and reproducible results for the community, and/or (3) bringing the latest research to Facebook products for connecting billions of users. This role offers direct collaboration with a highly interdisciplinary team of scientists and engineers, and cross-functional partners and access cutting-edge technology, resources, and research facilities.
Fundamental AI Research Scientist, Language - FAIR Responsibilities
- Directly contribute to experiments to push forward the state-of-the-art in foundational language models including designing experimental details, reusable code, running evaluations, and organizing results
- Drive software design, implementation and evaluation of research experiments
- Contribute to publications and open-sourcing efforts
- Help identify long-term ambitious research goals as well as intermediate milestones
- Working with and creating large datasets and benchmarks
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Ph.D. degree in Natural Language Processing or Core Learning or relevant technical field
- Experience holding an industry, academic, faculty, or government researcher position
- Publications in machine learning
- Experience with machine learning models, and frameworks such as PyTorch, TensorFlow or similar
- Experience coding software and executing complex experiments involving large AI models and datasets
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
- 3+ years of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research
- Publication record at peer-reviewed AI conferences (e.g. ACL, EMNLP, NeurIPS, ICLR, ICML or similar)
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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.
$147,000/year to $208,000/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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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 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 assistance or an accommodation due to a disability, fill out the Accommodations request form .