Research Scientist, Reinforcement Learning (PhD)

Meta

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or relevant field (must be completed before joining)
  • PhD in Computer Science, Artificial Intelligence, Data Science, or related field (in progress or completed required)
  • Work authorization in the country of employment at time of hire and ongoing during employment

Responsibilities

  • Collaborate on research in advancing large language model techniques
  • Design and conduct experiments, evaluations, and organize research results
  • Contribute to scholarly publications and open-source projects
  • Identify long-term research objectives and set intermediate milestones
  • Prioritize research aimed at Meta's product development

Benefits

  • Opportunity to work on cutting-edge AI technologies
  • Involvement in shaping the future of social technology
  • Access to a collaborative team environment
  • Engagement with cross-functional teams and real-world applications
  • Potential for significant research impact through publications and patents
Full Job Description
The AI Research Scientist role conducts cutting-edge 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 pushing the boundaries of AI, the role supports Meta's business growth, improves user experiences, and enables scalable solutions that benefit Meta's customers and people.

Responsibilities

Collaborate, and execute on research that pushes forward the state of the art in large language model research
• Directly contribute to experiments, including designing experimental details, running evaluations, and organizing results
• Contribute to publications and open-sourcing efforts
• Help identify long-term research goals as well as intermediate milestones
• Prioritize research that can be applied to Meta's product development

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
• Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications
• Experience with applying reinforcement learning techniques to production scale systems
• Experience in ranking, recommendation, or auction systems
• Prior work bridging academic research and real-world applications
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences
• Experience working and communicating cross functionally in a team environment

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.

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.

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