Software Engineer, Machine Learning
2 days ago
Meta Platforms, Inc. is seeking a highly skilled Software Engineer, Machine Learning to join our team. As a key member of our engineering team, you will design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Key Responsibilities
- 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, 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).
Requirements
Requires a Master's degree in Information and Data Science, Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
Requires completion of a university-level course, research project, internship, or thesis in the following:
- Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow;
- Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems;
- Translating insights into business recommendations;
- Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark;
- Developing and debugging in C, C++, and Java;
- Scripting languages: Perl, Python, PHP, or shell scripts;
- C, C++, C#, or Java;
- Python, PHP, or Haskell;
- Relational databases and SQL;
- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce);
- Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting;
- Build highly-scalable performant solutions;
- 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 as evidenced by recognizing and matching patterns from different areas of computer science in production systems;
- Distributed systems.
Benefits
Meta offers benefits, including base salary, bonus, equity, and sales incentives. Learn more about benefits at Meta at this link: link.
Salary
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable.
Salary: $227972/year to $240240/year + bonus + equity + benefits.
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