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🚀 Internship

Research Scientist Intern, AI Experimentation (PhD)

Logo of Meta


15d ago

🚀 Off-cycle Internship

Seattle +1

AI generated summary

  • The candidate must have a PhD in a relevant field, experience with adaptive experimentation methods, proficiency in programming languages such as Python, C++, and Java, a strong research background with publications, a demonstrated ability to solve analytical problems, and the ability to work in a team environment.
  • As a Research Scientist Intern, the candidate will be responsible for conducting cutting-edge research in AI experimentation, contributing to advancements in scalable machine learning systems, analyzing and improving algorithm efficiency, and collaborating with interdisciplinary teams to communicate research progress and results, with the potential to publish and contribute to Meta's product development.

Off-cycle Internship

Software EngineeringSeattle, Los Angeles


  • Meta is seeking Research Interns to join the Ads Experimentation team, where we strive to construct, identify, and measure the best personalized ads to people, maximizing their personal utility and advertiser value. We are committed to making fundamental advances in artificial intelligence and machine learning technologies that can be applied to all aspects of experimentation, including but not limited to, experimental designs, multi-armed bandits, active learning, off-policy evaluation, metric proxies, domain adaptation, and causal inference.
  • Our interns closely collaborate with researchers and engineers within the organization and across the company (e.g., FAIR), push the boundaries of state-of-the-art research in AI and ML, share the latest findings through top-tier publications and open source, and integrate innovations at an unprecedented scale with massive and concrete impact every year


  • Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, 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.
  • Experience with adaptive online and offline experimentation methods.
  • Experience with Python, C++, C, Java, or other related languages.
  • Experience with research and building systems based on machine learning and/or deep learning methods.
  • Preferred Qualifications:
  • Intent to return to degree program after the completion of the internship/co-op.
  • Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, KDD, IJCAI, CVPR, ICCV, ACL, NAACL, ICASSP, or similar.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.
  • Strong interest in theoretical and empirical research and for answering hard questions with research.
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources for large-scale training.
  • Experience working and communicating cross functionally in a team environment.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Conduct state-of-the-art research to advance experimentation.
  • Contribute to research that leads to innovations in scalable machine learning systems.
  • Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
  • Collaborate with researchers and engineers across diverse disciplines, including communicating research plans, progress, and results.
  • Publish research results and contribute to research that can be applied to Meta product development.


Work type

Full time

Work mode



Seattle, Los Angeles