Software Engineer, Machine Learning

Job Description

About the Role

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.

Key Responsibilities

Translate insights into business recommendations
Develop and debug software solutions
Build highly-scalable performant solutions
Apply algorithms and core computer science concepts to real world systems
Work with distributed systems and data processing technologies

Requirements

Master's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
2 years of experience in a computer-related occupation or in the job offered
Experience with Machine Learning Frameworks: PyTorch, MXNet, or Tensorflow
Experience in machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
Experience translating insights into business recommendations
Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
Proficiency in developing and debugging in C/C++ and Java
Knowledge of scripting languages such as Perl, Python, PHP, or shell scripts
Experience with C, C++, C#, or Java
Knowledge of Python, PHP, or Haskell
Experience with relational databases and SQL
Familiarity with software development tools: Code editors (VIM or Emacs), revision control systems (Subversion, GIT, or Perforce)
Experience with Linux, UNIX, or other *nix-like OS
Ability to build highly-scalable performant solutions
Knowledge in 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