Research Scientist, AI & Systems Co-Design (PhD)

Meta; Menlo Park (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta in Menlo Park, CA seeks a Research Scientist to co-design AI & Systems for GenAI and Recommendations. You will explore parallelisms, optimize compute efficiency, and push distributed training and inference paradigms from research to production.

You will collaborate with product and infra teams to scale state-of-the-art models, publish findings, and help shape future AI hardware and software co-design efforts across data centers.

Qualifications

• PhD in a relevant field or related doctoral research.
• Strong background in ML systems and model optimization.
• Experience collaborating with cross-functional teams to deploy scalable AI systems.

Responsibilities

• Explore, co-design and optimize parallelisms, compute efficiency, distributed training/inference paradigms and algorithms to improve GenAI and recommendation systems.
• Collaborate with product and infra teams to translate research into scalable production solutions.

Skills

Distributed training

GenAI

Parallel computing

System optimization

Education

PhD in Computer Science or related field

Job description

# Research Scientist, AI & Systems Co-Design (PhD)Menlo Park, CA Artificial Intelligence+ 6 moreApply nowOur teams’ mission is to explore, develop and help productionize 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 at Meta. This 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 production.In 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