Meta Platforms, Inc. (f/k/a Facebook Inc.) is hiring a(n) Software Engineer - Machine Learning (ref. Code REQ-2311-129967 in Bellevue, WA.

　　Duties: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Have industry experience working on a range ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. Working on problems of diverse scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools. Demonstrates good judgment to develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore stateof- the-art deep learning techniques. Receiving little instruction from supervisor, code deliverables in tandem with the engineering team. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

　　REQUIREMENTS: Employer will accept a Master's in Computer Science, Computational Science, Engineering, Information Systems, or related field.

　　Related skills may be required.Wage Range: $163660 - $194000 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"}To apply: submit your resume online here by uploading your resume