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 (e.g. distributed clusters, multicore SMP, and GPU).
- Telecommuting is permitted from anywhere in the U.S.
- Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation.
- Requires 12 months of experience involving the following skills:
- 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
- 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
- 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 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.
US$192,668/year to US$240,240/year + bonus + equity + benefits
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.
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Job Profile
Additional info for California residents Must be in the US
Benefits/PerksAccommodations Benefits Bonus Equity Individual compensation Long term conditions Mental health conditions Pregnancy-related support Religious beliefs Telecommuting
Tasks- Analyze requirements
- Build
- Code deliverables
- Debugging
- Design
- Develop
- Develop scalable systems
- Research
- Test Operating Systems-Level Software
- Test software
Algorithms Bigtable Business C C++ Classification Compilers Computer graphics Computer Science Computer Vision Databases Data Mining Data processing Data regression Debugging Deep Learning Design Developing Distributed clusters Distributed Systems Efficiency Emacs Engineering Frameworks Git GPU Graphics Hadoop Haskell HBase Human-Computer Interaction Identity Industry experience Java Linux Machine Learning MapReduce Mathematics Multicore SMP Mxnet Natural Language Processing Networking Operating Systems Optimization Parallel environments Perforce Perl PHP Physics Pig Prediction Programming Programming languages Python PyTorch Recommendation systems Recruiting Regression Relational databases Research Scripting Scripting Languages Shell Shell scripting Shell scripts Software Development Spark SQL Subversion Systems Techniques TensorFlow Tools UNIX Vim Virtual reality Web
Experience1 year
EducationApplied sciences Business Computer Science Design Engineering Equivalent Foreign equivalent Master Master's Master's degree 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