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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 FAIRs 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, FlashAttention, training performance acceleration through hardware-software co-design.
- Carrying out cutting-edge research to advance the science and technology of machine learning systems
- Performing research that enables learning the semantics of data (images, video, text, audio, and other modalities)
- Contributing research that leads to innovations in:
- Scalable machine learning systems
- Resource-efficient AI data and algorithm scaling
- Neural network architectures
- Memory and energy-efficient AI systems
- Environmentally-sustainable AI system and hardware designs
- Devising better data-driven models of AI system design and optimization
- Collaborating with researchers and cross-functional partners, including communicating research plans, progress, and results
- Publishing research results and contributing to research that impacts Meta product development
Requirements:
- Bachelors degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD degree in Computer Science, Computer Engineering, a relevant technical field, and 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
- 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. GitHub)
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity 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.
Accommodations
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.