Software Engineer (Machine Learning)
New York City
- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
- Have industryexperience working on a range of ranking, classification, recommendation, and optimization problems ,problems, e.g. payment fraud, click-through or conversion rate prediction, click-frauddetection, 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-theart 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).
- Master's degree in Computer Science, Engineering, Mathematics, or a related field. 24 months of experience in the job offered or in a related occupation. Experience must include 24 months involving the following:
- 1. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
- 2. Python, PHP, or Haskell
- 3. Relational databases and SQL
- 4. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- 5. Conducting design and code reviews
- 6. Object-oriented software development
- 7. Building maintainable and testable codes bases including API design and unit testing techniques
- 8. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- 9. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in
production systems - 10. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: APIs Classification Computer Science Computer Vision Data Mining Deep Learning Distributed Systems Engineering Git GPU Haskell Machine Learning Mathematics NLP PHP Physics Python RDBMS Research SQL Testing VR
Perks/benefits: Career development Equity Health care Salary bonus
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