Software Engineer – Machine Learning
| Company | Meta |
|---|---|
| Location | Burlingame, CA, USA |
| Salary | $267553 – $290180 |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Requires a Master’s degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field
- 12 months in the job offered or in a related occupation
- 12 months of experience involving building large scale infrastructure applications
- Creating web applications using Python and PHP
- Implementing web interfaces
- Conducting design and code reviews
- Machine learning frameworks.
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).
Preferred Qualifications
-
No preferred qualifications provided.