Meta is seeking a Visiting Researcher to join our Systems ML - SW/HW Co-Design team to focus on end-to-end sub-8 bit training experimentation on LLaMa modelsAI System SW/HW Co-design team’s mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. We achieve this via concurrent design and optimization of many aspects of the system such as models, algorithms, numerics, performance and AI hardware including compute, networking and storage. In essence, we drive the AI HW roadmap at Meta and ensure our existing and future AI workloads and software are well optimized and suited for the hardware infrastructure.Visiting Researcher, Systems ML - SW/HW Co-Design ResponsibilitiesImplement the quantization emulation code in the xlformers for LLaMa4 training and be compatible with the model parallelism strategiesOptimize the emulation operator performance to reduce the latency of the end-to-end training.Add the periodic quantization error logging to signal the training divergence and facilitate debugging.Compare different quantization strategies on the train loss curves.Evaluate the post-training sub 8-bit inference accuracy for final validations.Minimum QualificationsCurrently 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.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-designExperience developing AI-System infrastructure or AI algorithms in C/C++ or PythonMust obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employmentPreferred QualificationsPhD degree in Computer Science, Computer EngineeringExperience with distributed systems or on-device algorithm developmentExperience with large language modelsExperience collaborating with other teams in a fast-paced environment For those who live in or expect to work from California if hired for this position, please click here for additional information. 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. $56.25/hour to $137,000/year + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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. 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 accommodations-ext@fb.com.