Meta is seeking Research Engineers to join FAIR, our world-class research lab. We are seeking individuals to work with our AI for Compiler Optimisation team to build novel algorithms that enable compilers to better optimise code and scale them to work on large enterprise code bases. Our research spans language models and novel model architectures and all aspects of compilers and auto-tuning. The candidate should have a solid background in machine learning and compilers, with experience in building and managing complex machine learning pipelines at scale.
Research Engineer Responsibilities:
Develop novel algorithms and techniques for compiler and systems optimisation using machine learning.
Generate and curate novel datasets for training over compiler optimisation problems.
Collaborate with other researchers and engineers to develop and implement new features and improvements.
Collaborate on building demos to illustrate scientific breakthroughs.
Minimum Qualifications:
Effective programming skills (Python, C++)
Currently has, or is in the process of obtaining, a Masters degree with relevant research experience in Computer Science or related fields.
Solid background on the foundations of machine learning and reinforcement learning.
Experience in working on AI for compilers.
Experience collaborating within a research team to solve complex problems.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
Lead-authored publications at peer-reviewed conferences (e.g. NeurIPS, ICLR, CVPR, CGO, PLDI or similar)
Currently has, or is in the process of obtaining, a PhD degree in Computer Science or related fields.
Demonstrated machine learning experience in one of the following: internship, open-source activity, data science competitions
Experience in creating high-performance implementations in deep learning frameworks (such as pytorch, tensorflow)
Experience of building compiler optimisations.
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.
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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
