Software Engineer, Machine Learning - Remote Eligible

Software Engineer, Machine Learning

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.

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 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 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).
• Telecommuting from anywhere in the US allowed.

Minimum Qualifications

• Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field and 12 months of experience in the job offered or in a computer-related occupation.
• Requires 12 months of experience involving the following:
• Machine Learning Frameworks(s): PyTorch, MXNet, or Tensorflow
• Machine Learning, recommendation systems, natural language processing, data mining or distributed systems
• Translating insights into business recommendations
• Hadoop /Hbase /Pig or Mapreduce /Sawzall /Bigtable
• Scripting languages such as Perl, Python, PHP, and shell scripts
• C, C++, Java, or C#
• Python, PHP, or Haskell
• Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
• Building highly-scalable performant solutions
• Applying 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 systems

$215,356/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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