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 Responsibilities:

• Implement the quantization emulation code in the xlformers for LLaMa4 training and be compatible with the model parallelism strategies
• Optimize 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 Qualifications:

• Currently 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-design
• Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

• PhD degree in Computer Science, Computer Engineering
• Experience with distributed systems or on-device algorithm development
• Experience with large language models
• Experience collaborating with other teams in a fast-paced 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.