Software Engineer, Machine Learning
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
- Work 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.
- 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.
- 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).
- Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field, and five (5) years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation. Experience must include 5 years of experience in 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, or 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 including file manipulation and simple commands.
12. Building highly-scalable performant solutions. - 13. Designing scalable distributed systems with established partition tolerance, consistency, and availability guarantees.
- 14. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction.
- 15. 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.
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: Architecture Bigtable Computer Science Data Mining Deep Learning Distributed Systems Engineering Git GPU Hadoop Haskell HBase Java Linux Machine Learning Mathematics Perl PHP Physics Python RDBMS Research Spark SQL VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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