Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Machine Learning Engineer ResponsibilitiesResearch, 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 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.Work on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, linear/logistic regression and rule-based models.Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.Receive general 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).Telecommute from anywhere in the U.S.permitted.Minimum QualificationsRequires a PhD degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 6 months of experience in the job offered or in a computer-related occupation. Position requires 6 months of experience in the following:Machine Learning Framework(s): PyTorch, MXNet, or TensorflowMachine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systemsTranslating insights into business recommendationsHadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or SparkScripting languages: Perl, Python, PHP, or shell scriptsRelational databases and SQLLinux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scriptingBuild highly-scalable performant solutionsData processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interactionApplying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systemsDistributed systemsAlgorithmsBig Data Modeling & AnalysisSoftware development tools: Code editors (VS Code, VIM, or Emacs), and revision control systems (Subversion, GIT, or Perforce)LocationsAbout MetaMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .181 272 $US/year to 200 200 $US/year + bonus + equity + benefitsIndividual 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, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about at Meta.
