Visiting Researcher, Systems for ML

Visiting Researcher, Systems for ML
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Boston, MA
Meta is seeking a Visiting Researcher through a short-term contract to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in scientific methods and technologies to help interact with and understand our world. The mission of Meta FAIR's Systems for ML research is to advance the state of AI through open science innovations. We explore, design, and build AI systems and infrastructures at scale to enable next-generation AI technologies. We aim to develop a broader and deeper understanding for critical but underinvested research directions for AI systems, from the design of programming framework and the compiler to the variety of AI hardware-software co-design. To increase the usability of AI systems and performance portability, we develop software system stack to unlock the performance potentials promised by the AI hardware. Furthermore, as AI becomes more and more pervasive, we must innovate with responsibility in mind when building the next generation AI systems and by developing greener, more fair and secure AI technologies. We are seeking individuals passionate in areas such as machine learning and system infrastructures that enable and advance AI technologies. Visiting Researchers will have an opportunity to make core algorithmic and system hardware-software advances and apply their ideas at an unprecedented scale. This position is short-term employment for a PhD student during the academic school year who will complete a minimum 6-month term. The individual will work in collaboration with Meta and require the student to work onsite in the Meta office.
Visiting Researcher, Systems for ML Responsibilities
  • Perform research to advance the science and technology of intelligent machines
  • Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
  • Devise better data-driven models of AI system design and optimization
  • Contribute research that leads to innovations in: Scalable machine learning systems, Resource-efficient AI data and algorithm scaling and neural network architectures, Memory and energy-efficient AI systems, Environmentally-sustainable AI system and hardware designs, AI-driven compiler, programming language, system design and optimization, System design for privacy-enhancing AI technologies
Minimum Qualifications
  • Currently has or is in the process of obtaining a PhD degree in the field of Machine Learning, Systems, Artificial Intelligence, a related field, or equivalent practical experience
  • Research experience at the intersection of Systems and Machine Learning
  • Experience in C, C++, Python, Lua or other related programming language
  • Experience devising data-driven models and real-system experiments and design implementation for AI system optimization
  • Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures
  • Experience with memory and energy-efficient AI systems, environmentally-sustainable AI system designs, or AI-driven system optimization
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, MLSys, ISCA, ASPLOS, CGO, PLDI, PACT, HPCA, MICRO
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience developing and optimizing systems for at-scale machine learning execution
  • Experience in real-system implementations
  • Experience solving analytical problems using quantitative approaches
  • Experience to manipulate and analyze complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience building systems based on machine learning and/or deep learning methods
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
  • 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.
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
$104,000/year to $137,000/year + benefits

Please note the national salary range listed in the job posting reflects the new hire salary range across levels and U.S. locations that would be applicable to the position. Final salary will be commensurate with the candidate’s final level and final location. Also, this range represents base salary only and does not include the company bonus, incentive for sales roles, equity, or benefits , if applicable.
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