Meta Platforms, Inc. is looking to solve problems related to massive social data and prediction, such as payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, and spam detection.
Requirements
- Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
- Machine learning, recommendation 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
- Relational databases and SQL
- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
Responsibilities
- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
- Have industry experience working on a range ranking, classification, recommendation, 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.
- Working on problems of diverse scope, 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.
- Demonstrates good judgment to 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.
- Receiving little instruction from supervisor, code deliverables in tandem with the engineering team.
- Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).
Other
- Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, or related field and 24 months of experience in the Job offered or related experience
- Translating insights into business recommendations
- Build highly-scalable performant solutions
- Applying algorithms and core computer science concepts to real world systems
- Individual compensation is determined by skills, qualifications, experience, and location.
