Meta Platforms, Inc. is looking to solve problems related to massive social data and prediction, including ranking, classification, recommendation, and optimization problems, to help build the next evolution in social technology.
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 of 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 moderate 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.
- 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 general instruction from supervisor, code deliverables in tandem with the engineering team.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Other
- Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation
- Telecommuting is permitted from anywhere in the U.S.
- Individual compensation is determined by skills, qualifications, experience, and location.
- Meta offers benefits, including bonus, equity, and sales incentives.
- Meta is proud to be an Equal Employment Opportunity employer and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans.
