Software Engineer

Meta•New York, NY

About The Position

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.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 2 years of experience in the job offered or in a computer-related occupation
2 years of experience in Machine Learning Frameworks: PyTorch, MXNet, or Tensorflow
2 years of experience in machine learning, data mining, or distributed systems
2 years of experience translating insights into business recommendations
2 years of experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
2 years of experience developing and debugging in C/C++ and Java
2 years of experience with scripting languages such as Perl, Python, PHP, or shell scripts
2 years of experience with C, C++, C#, or Java
2 years of experience with Python, PHP, or Haskell
2 years of experience with relational databases and SQL
2 years of experience with software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
2 years of experience with Linux, UNIX, or other nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
2 years of experience building highly-scalable performant solutions
2 years of experience in data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
2 years of experience 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
2 years of experience in distributed systems

Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Utilize industry experience to work 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.
Work 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.
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).