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AI Research Scientist, MRS Knowledge

Meta

Menlo Park, CAJob$122–181K/yrSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$122–181K/yr
Location
Menlo Park, CA
Work Authorization
Not specified

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Job overview

The AI Research Scientist conducts novel research and develops advanced machine learning models, particularly in large language models and recommendation systems. The work focuses on content and user understanding, retrieval, and ranking, with deliverables intended to improve recommendations across Meta platforms. The role advances AI research and development in support of product development, business growth, user experiences, and scalable solutions.

Skills & qualifications

RequiredNice to have

Skills

Large Language ModelsExperimental DesignEvaluationReinforcement LearningRanking SystemsRecommendation SystemsAuction SystemsCross-Functional CommunicationProduction-Scale SystemsAcademic Research Application

Qualifications

Bachelor's in Computer Science, Computer Engineering, or Related Field or Equivalent ExperiencePhD in Computer Science, Artificial Intelligence, Data Science, or Related FieldWork AuthorizationGrants, Fellowships, Patents, or Publications

Full job description

Summary:

The AI Research Scientist role conducts novel research and develops advanced machine learning models, particularly in large language models, and recommendation systems, to drive innovation in content and user understanding, retrieval, and ranking. These deliverables directly enhance Meta’s products by powering more accurate, efficient, and personalized recommendations across Facebook, Instagram, Threads, and other platforms. By advancing AI research and development, the role supports Meta’s business growth, improves user experiences, and enables scalable solutions that benefit Meta’s customers and people.

Required Skills:

AI Research Scientist, MRS Knowledge Responsibilities:

  1. Collaborate and execute on research that pushes forward the state of the art in large language model research

  2. Directly contribute to experiments, including designing experimental details, running evaluations, and organizing results

  3. Contribute to publications and open-sourcing efforts

  4. Help identify long-term research goals as well as intermediate milestones

  5. Prioritize research that can be applied to Meta's product development

Minimum Qualifications:

Minimum Qualifications:

  1. 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

  2. Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields

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

Preferred Qualifications:

Preferred Qualifications:

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

  2. Experience with applying reinforcement learning techniques to production scale systems

  3. Experience in ranking, recommendation, or auction systems

  4. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences

  5. Prior work bridging academic research and real-world applications

Public Compensation:

$122,000/year to $181,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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