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Software Engineer, Machine Learning
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Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA:
Software Engineer, Machine Learning: 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 of classification and optimization problems (ref. code REQ-2412-144494: $193,000/year - $200,200/year).
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. For full information & to apply online, visit us at the following website http://www.metacareers.com/jobs & search using the ref code(s) above.
Software Engineer, Machine Learning: 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 of classification and optimization problems (ref. code REQ-2412-144494: $193,000/year - $200,200/year).
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. For full information & to apply online, visit us at the following website http://www.metacareers.com/jobs & search using the ref code(s) above.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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