Software Engineer (Machine Learning)

Meta-posted 3 months ago
$286,028 - $290,180/Yr
Full-time • Mid Level
Remote • Menlo Park, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
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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.

  • 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 ranking, classification, recommendation, and optimization problems.
  • 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.
  • Adapt standard machine learning methods to best exploit modern parallel environments.
  • Master's Degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, or a related field.
  • 24 months of experience in the job offered or in a related occupation.
  • Experience with Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow.
  • Experience in machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems.
  • Translating insights into business recommendations.
  • Experience with 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.
  • Experience with relational databases and SQL.
  • Familiarity with software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce).
  • Experience with Linux, UNIX, or other *nix-like OS.
  • Build highly-scalable performant solutions.
  • Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction.
  • Applying algorithms and core computer science concepts to real world systems.
  • Experience with distributed systems.
  • Bonus
  • Equity
  • Comprehensive benefits package
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