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 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 (e.g. distributed clusters, multicore SMP, and GPU).
- Telecommuting is permitted from anywhere in the United States.
- Requires a Master's degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 36 months of experience in job offered or in a computer-related occupation.
Experience must include 36 months involving the following: - 1. Filesystems, server architectures, and distributed systems
- 2. Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
- 3. Translating insights into business recommendations
- 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
- 5. Developing and debugging in C/C++ and Java
- 6. Scripting languages such as Perl, Python, PHP, and shell scripts
- 7. C, C++, C#, or Java
- 8. Python, PHP, or Haskell
- 9. Relational databases and SQL
- 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
- 12. Build highly-scalable performant solutions
- 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
- 14. 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 and
- 15. Distributed systems.
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. Apply
Job Profile
Regions Countries RestrictionsTelecommuting is permitted from anywhere in the United States
Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Adapt machine learning methods to exploit modern parallel environments
- Adapt standard machine learning methods to best exploit modern parallel environments
- Analyze and synthesize requirements and bottleneck in technology
- Code deliverables in tandem with the engineering team
- Data mining
- Develop highly scalable systems and algorithms leveraging deep learning
- Research, design, and develop operating systems-level software
- Research, design, develop, and test operating systems-level software
- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems
- Work on ranking, classification, recommendation, and optimization problems
Algorithms Artificial Intelligence Bigtable C C/C++ Code editors Compilers Computer graphics Computer Science Databases Data Mining Data processing Data Regression Debugging Deep Learning Design Developing Distributed Systems Emacs Engineering Filesystems Git Hadoop Haskell HBase Human-Computer Interaction Industry experience Java Linux Machine Learning MapReduce Network Distribution Network Distribution Software Networking Operating Systems Operating Systems-level Software Optimization Pattern Recognition Perforce Perl PHP Pig Programming Programming languages Python Recommendation systems Recruiting Regression Relational databases Research Revision control systems Rules Based Models Sawzall Scripting Languages Shell scripting Shell Scripts Software Development Software Development Tools Spark SQL Subversion UNIX VIM Web
Experience3 years
EducationApplied Sciences Artificial Intelligence Business Computer Engineering Computer Graphics Computer Science Computer Software Design Engineering Master Master's degree Master's 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