Meta Platforms, Inc. (Meta) is looking to solve massive social data and prediction problems by researching, designing, developing, and testing operating systems-level software, compilers, and network distribution software.
Requirements
- Machine learning, recommendation systems, computer vision, natural language processing, or data mining
- Experience with at least on of the following Machine Learning Frameworks: PyTorch, MXNet, or Tensorflow
- Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
- Developing and debugging in C, C++, and Java
- One of the scripting languages: Perl, Python, PHP, or Shell Scripts
- Relational databases and SQL
- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- Distributed systems including sharding, consistency, and availability
- Building highly-scalable performant solutions
- Data structures and algorithms
- Filesystems and server architectures,
- Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
- Designing scalable distributed systems with established partition tolerance, consistency, and availability guarantees and
- Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
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 ranking, classification, recommendation, and optimization problems, such as 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 bottleneck in technology, systems, and tools.
- Adapt standard machine learning methods to best exploit modern parallel environments like distributed clusters, multicore SMP, and GPU.
Other
- Master's degree (or foreign degree equivalent) in Computer Science, Engineering, or related field and 2 years of experience in the job offered or in a related occupation
- Translating insights into business recommendations
