Machine Learning Developer
2 days ago
Meta Platforms, Inc.
About the Role:
We are seeking a talented Software Engineer to join our Machine Learning team in New York, NY. As a Software Engineer, you will be responsible for designing, developing, and testing operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Key Responsibilities:
- Design and develop highly scalable systems, algorithms, and tools leveraging deep learning, data regression, and rules-based models.
- Analyze and synthesize requirements and bottlenecks in technology, systems, and tools.
- Develop solutions that iterate orders of magnitude with higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
What You Will Need:
- Computer Science, Engineering, Mathematics, or a related field.
- Completion of a university-level course, internship, or research project involving the following: Machine Learning Frameworks (PyTorch, MXNet, or Tensorflow), machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems.
- Developing and debugging in C, C++, and Java; scripting languages (Perl, Python, PHP, or shell scripts); software development tools (Code editors (VIM or Emacs) and revision control systems (Subversion, GIT, or Perforce)); Linux, UNIX, or other *nix-like OS including file manipulation and simple commands; distributed systems including sharding, consistency, and availability; building highly-scalable performant solutions; and data structures and algorithms.
Benefits:
- Competitive salary ($182,608 - $200,200 per year)
- Bonus and equity opportunities
- Comprehensive benefits package
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