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Software Engineer - Machine Learning

Meta

$178,360 - $200,200
Aug 20, 2025
New York, NY, USA
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Meta Platforms, Inc. (Meta) is looking to solve massive social data and prediction problems by researching, designing, developing, and testing operating systems-level software, compilers, and network distribution software.

Requirements

  • Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
  • machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
  • Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
  • Developing and debugging in C/C++ and Java
  • Scripting languages such as Perl, Python, PHP, or shell scripts
  • C, C++, C, or Java
  • Python, PHP, or Haskell

Responsibilities

  • 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, 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 moderate 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.
  • 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.
  • Receiving 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).

Other

  • Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
  • Translating insights into business recommendations
  • Relational databases and SQL
  • Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
  • Linux, UNIX, or other *nix-like OS including file manipulation and simple commands