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. To apply, click “Apply to Job” online on this web page.
Responsibilities
- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
- 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.
- Develop highly scalable systems, algorithms, and tools leveraging deep learning, data regression, and rules-based models.
- Suggest, collect, analyze, and synthesize requirements and bottlenecks in technology, systems, and tools.
- Develop solutions that iterate orders of magnitude with a higher efficiency and explore state-of-the-art deep learning techniques.
- Code deliverables in tandem with the engineering team under general instruction from a supervisor.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Requirements
- Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
- Completion of a university-level course, research project, internship, or thesis in machine learning frameworks such as PyTorch, MXNet, or Tensorflow.
- Experience in machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems.
- Proficiency in developing and debugging in C/C++ and Java.
- Experience with scripting languages such as Perl, Python, PHP, or shell scripts.
- Knowledge of 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 including file manipulation and simple commands.
- Understanding of distributed systems including sharding, consistency, and availability.
