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
- Experience in 1. Building large-scale backend applications
- Experience in 2. Driving projects with multiple stakeholders and ambiguous goals to successful completion
- Experience in 3. Testing software components such as unit tests and integration tests with languages such as J-Unit, Php-Unit, or py-unit
- Experience in 4. Development with at least one modern programming language with object oriented capabilities (Go, Python, Php, Ruby, .NET/C, Java, or Node)
- Experience in 5. Conducting design and code reviews
- Experience in 6. Maintenance and operational monitoring of software components involving monitoring, troubleshooting or fixing defects
- Experience in 7. Designing, building, and maintaining high-quality, developer-friendly APIs
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 classification 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 Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field, and 3 years of experience in the job offered or in a computer-related occupation
- Experience must include 3 years in the following: 2. Driving projects with multiple stakeholders and ambiguous goals to successful completion
- Experience must include 3 years in the following: 8. Designing high volume, fault tolerant, scalable systems
- Experience must include 3 years in the following: 9. Development of the architecture and design (architecture, design patterns, reliability, or scaling) of new and current systems
- Meta is proud to be an Equal Employment Opportunity employer.
