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, eg 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 (eg distributed clusters, multicore SMP, and GPU).
- Telecommuting is permitted from anywhere in the US.
- Master's degree in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field and 36 months of experience in job offered or computer-related occupation. Foreign equivalent accepted.
Requires 36 months of experience involving the following: - 1. Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
- 2. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
- 3. Scripting languages such as 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.
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Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
SkillsAlgorithms Artificial Intelligence Code editors Compilers Computer graphics Computer Science Databases Data Mining Data processing Deep Learning Design Emacs Engineering Git Hadoop Haskell HBase Human-Computer Interaction Industry experience Linux Machine Learning MapReduce Network Distribution Network Distribution Software Networking Operating Systems Operating Systems-level Software Optimization Pattern Recognition Perforce Perl PHP Programming Programming languages Python Recommendation systems Recruiting Regression Relational databases Research Revision control systems Scripting Languages Shell scripting Software Development Software Development Tools Spark SQL Subversion UNIX VIM Web
Experience3 years
EducationApplied Sciences Artificial Intelligence Computer Science Design Engineering Master Master's degree Master’s Degree in Computer Science Mathematics Physics Related Field Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9