Research Scientist, AI Recommendation Systems (PhD)

Research Scientist, AI Recommendation Systems (PhD)

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Menlo Park, CA • New York, NY

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At Meta, we use machine learning across a diverse set of applications to help people discover better content more quickly, and to connect with the things that matter most to them. Modern Recommendation System organization focuses on developing efficient foundational models as a platform to enable differentiated and delightful user experiences across Meta products. We are seeking a talented AI Research Scientist with experience in recommendation system, language models and general AI to join the team

Research Scientist, AI Recommendation Systems (PhD) Responsibilities

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.


• Define, build, and benchmark the efficient foundation models for recommendation system Conduct research towards long-term ambitious research goals while identifying intermediate milestones.


• Conduct research to advance the science and technology of recommendation systems, large language models and generative AI modeling.


• Work with engineering teams to ship state-of-the-art models to product.

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD in Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.


• Knowledge in Python, Java, C++ or PHP.


• Research and/or work experience in machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval or computer vision.


• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.


• 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.

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)


• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar.


• Experience working and communicating cross-functionally in a team environment.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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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.

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 .

$117,000/year to $173,000/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.