Meta Platforms, Inc. (f/k/a Facebook Inc.) is hiring a(n) Research Scientist

　　* (ref. code *REQ-2401-131542) in Redmond, Washington.

　　Salary: $198,940.00/year to $235,000.00/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits{rel="nofollow"}.

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　　Duties: Perform research and develop solutions to computer software and computer hardware problems. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. Utilize technical research background, train new ranking models, and run experiments. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. Use machine learning, statistics, or other data techniques to build algorithms. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. Analyze and resolve computer challenges from a system engineering standpoint. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. Develop AI compiler frameworks to accelerate machine learning workloads on the next generation of AI hardware. Partner with hardware design teams to develop compiler optimizations for high performance. Drive net generation hardware software co-design for AI domain specific problems.

　　Requirements: Requires a Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field.