Meta Platforms, Inc. (Meta) is looking to solve computer software and computer hardware problems by performing research and developing new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. They are also designing and implementing large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure, and creating tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
Requirements
- Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
- Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
- Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
- Developing and debugging in C/C++ and Java
- Scripting languages such as 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 including file manipulation and simple commands
- Building highly-scalable performant solutions
- Distributed systems including sharding, consistency, and availability
- Data structures and algorithms
Responsibilities
- Perform research and develop solutions to computer software and computer hardware problems.
- Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.
- Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
- Utilize technical research background, train new ranking models, and run experiments.
- Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
- Use machine learning, statistics, or other data techniques to build algorithms.
- Analyze and resolve computer challenges from a system engineering standpoint.
Other
- Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Requires a Master's degree (or foreign equivalent degree) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
- Requires completion of one graduate-level course, one research project, or one internship involving each of the following skills: Translating insights into business recommendations
