Job Information
Meta Platforms, Inc. Research Scientist in Bellevue, Washington
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)
Job Title: Research Scientist
Job Code: REQ-2406-139073
Job Location: Bellevue, Washington
Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday
Salary: $203,350/year to $240,240/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.
Duties:
Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models. Suggest, collect and synthesize requirements and create effective feature roadmap. Code deliverables in tandem with the engineering team. Adapt standard machine learning methods to best exploit modern parallel environments including distributed clusters, multicore SMP, and GPU.
Requirements:
Requires a Master's degree in Computer Science, Data Science, Applied Sciences, Physics, or a related field. Foreign equivalent accepted. Requires completion of a graduate-level course, research project, or internship involving the following skills: Algorithms, data structures, or systems software; Solving analytical problems using quantitative approaches; Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources; Communicating complex research in a clear, precise, and actionable manner; Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, orcomputer vision; Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines; Devising better data-driven models of human behavior; Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU; Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models; Java, C++, Perl, PHP; and Python.
To apply, please send resume to the following email address SWApplicant@fb.com & include the job order number visible to you above in the subject line of the email. It is important to include the job order number in the subject line of the email. Also include the Ref code number: REQ-2406-139073.