AI Research Scientist, SysML

Position: AI Research Scientist, SysML - FAIR
Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals who are experienced in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.

The mission of Meta FAIR's SysML research is to advance the state of AI through open science innovations. We explore, design, and build ML systems and infrastructures at scale with usability, efficiency, and sustainability as design principles. Some aspects of this role include enabling distributed training at an unprecedented scale through advancements and development in training library and authoring components, such as cuBLAS, cuDNN, Flash Attention, training performance acceleration through hardware-software co-design.

AI Research Scientist, SysML - FAIR Responsibilities:

Carry out cutting-edge research to advance the science and technology of machine learning systems

Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
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

Devise better data-driven models of AI system design and optimization

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results

Publish research results and contribute to research that impacts Meta product development

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

PhD degree in Computer Science, Computer Engineering, a relevant technical field, & 2+ years of equivalent domain-specific industry experience

Development experience in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence

Experience with Python, C++, C, Rust or other related languages and with PyTorch framework

Experience developing and optimizing systems for at-scale machine learning execution

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 solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

Experience working and communicating cross functionally in a team environment

Preferred Qualifications:

Proven track record of achieving significant results and publications as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as MLSys, ISCA, ASPLOS, HPCA, PLDI, CGO, NeurIPS, ICML, ICLR, or similar

Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. Git Hub)
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 Whats App 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 proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion,…