Software Engineer, Machine Learning
Menlo Park, CA | Remote, US
- 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 (eg distributed clusters, multicore SMP, and GPU).
- Telecommute from anywhere in the US permitted.
- Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and two years of work experience in the job offered or in a computer-related occupation.
Requires two years of experience in the following: - 1. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
- 2. Translating insights into business recommendations
- 3. Scripting languages: Perl, Python, PHP, or shell scripts
- 4. Python, PHP, or Haskell
- 5. Relational databases and SQL
- 6. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- 7. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
- 8. Build highly-scalable performant solutions
- 9. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
- 10. 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.
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Tasks- Analyze requirements
- Build
- Design
- Develop
- Research
- Test software
Algorithms Business Compilers Computer graphics Computer Science Computer Vision Databases Data Mining Data processing Deep Learning Design Distributed Systems Efficiency Engineering Git Haskell Human-Computer Interaction Industry experience Linux Machine Learning Mathematics Natural Language Processing Networking Operating Systems Optimization Perforce Perl PHP Physics Programming Programming languages Python Recommendation systems Recruiting Regression Relational databases Research Scripting Scripting Languages Shell scripting Software Development Software Development Tools SQL UNIX Web
Experience2 years
EducationApplied Sciences Business Computer Engineering Computer Science Design Engineering Master Master's degree Master’s Degree in Computer Science Mathematics Physics Related Field Technology
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