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Research Scientist, AI & Systems Co-Design; PhD

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
# Research Scientist, AI & Systems Co-Design (PhD)
Menlo Park, CA Artificial Intelligence+ 6 more Apply nowOur teams’ mission is to explore, develop and help product ionize high-performance software & hardware technologies for AI at datacenter scale. We achieve this via concurrent design and optimization of many aspects of the system from models and runtime all the way to the AI hardware, optimizing across compute, network and storage. The team invests significantly into model optimization on existing accelerator systems and guiding the future of models and AI HW s drives improved performance, new model architectures and reduces cost of ownership for all key AI services at Meta:
Recommendations and Generative AI.This is an exciting space that spans exploration and productionization, coupled with close collaborations with industry, academia, Meta’s Infrastructure and Product groups. Collaborating closely with product teams, the team's mode of operation is going from ideation and rapid prototyping, all the way to assisting productionization of high leverage ideas, working with many partner teams to bring learnings from prototype into  addition to the real-world impact on billions of users of the Meta products, our team members have won Best Paper Awards at prestigious conferences such as ISCA, ASPLOS, SOSP, and OSDI, with multiple papers selected for IEEE Micro Top Picks.

We regularly publish in ICML, NeurIPS, SC, HPCA, NSDI, VLDB, MLSys, and more. Overall, our work largely corresponds to the research communities of systems in general and especially systems for ML (MLSys, SOSP, OSDI, SIGCOMM, NSDI), computer architecture (ISCA, ASPLOS, MICRO, HPCA), and ML (NeurIPS, ICML, ICLR). Learn more about our team from our website: https://aisystemcodesign.github.io---## Research Scientist, AI & Systems Co-Design (PhD) Responsibilities
* Explore, co-design and optimize parallelisms, compute efficiency, distributed training/inference paradigms and algorithms to improve the scalability, efficiency, and reliability of GenAI and recommendation systems
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