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
- Coding in at least one of the following industry-standard languages: C, C++, Java, or C
- Relational databases and SQL
- Object-oriented software development
- Coding in Java
- Building maintainable and testable codes bases including API design and unit testing techniques
- Distributed systems including sharding, consistency, and availability
- Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
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 (e.g. distributed clusters, multicore SMP, and GPU).
Other
- Requires a PhD(or foreign degree equivalent) in Computer Science , Engineering, Information Systems, Statistics, or a related field
- Requires completion of a graduate-level course, research project, or internship involving the following:
- Meta is proud to be an Equal Employment Opportunity employer.
- Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
