Software Engineer (Machine Learning)
Menlo Park, CA
- 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 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 exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
- Requires a PhD in Computer Science, Engineering, Mathematics, Statistics, or related field and 36 months of experience in job offered or in a related occupation. Experience must include 36 months involving the following:
- 1. Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
- 2. Translating insights into business recommendations
- 3. Scripting languages including Perl, Python, PHP, or shell scripts
- 4. Python, PHP, or Haskell
- 5. Relational databases and SQL
- 6. Build highly-scalable performant solutions
- 7. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Tags: Classification Computer Science Data Mining Deep Learning Engineering GPU Haskell Machine Learning Mathematics Perl PhD PHP Physics Python RDBMS Research SQL Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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