Facebook Research Engineering Intern, AI SW/HW Co-design in Raleigh, North Carolina
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
AI SW/HW Co-design team has a mission to explore, develop and help productize high-performance software and hardware technologies for AI. Our team defines and drives AI HW roadmap at FB. In essence co-design ensures our existing software workloads are well optimized and suited for the hardware infrastructure that they are running on. We’re a diverse group of problem solvers driven by a culture of experimentation and innovation. We are seeking a Research Engineering Intern to support machine learning applications to distributed systems. In this role, you will be a key member of a team of innovators, working on leading AI workloads, distributed systems, and developing architecture to enable the future of AI SW/HW co-design.
Lead research that enables learning the semantics of data (images, video, text, audio, speech and other modalities).
Lead research that enables AI training scale to 100s or 1000s of compute units and optimizing communication libraries.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Influence progress of relevant research communities by producing publications.
Contribute research that can be applied to Facebook product development.
Lead and collaborate on research projects within a globally based team.
Currently has, or is in the process of obtaining a PhD degree
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
Experience manipulating and analyzing data from different sources.
Experience in theoretical and empirical research and for answering questions with research.
Experience communicating research for public audiences of peers.
Intent to return to degree-program after the completion of the internship/co-op
Experience driving original scholarship in collaboration with a team.
First-author publications at peer-reviewed conferences (e.g. NIPS, NSDI, CVPR, ICML, ICLR, ICCV, and ACL).
Experience in developing and debugging in C/C++, Python, C# and/or Java.
Experience leading a team in solving analytical problems using quantitative approaches.
Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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 firstname.lastname@example.org.
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