Software Engineer, Machine Learning

Menlo Park, CA | Remote, US

Meta

Published 1 month ago

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Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

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 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 (egdistributed clusters, multicore SMP, and GPU).
Telecommute from anywhere in the US permitted (remote work benefit).

Minimum Qualifications

Requires a Master’s degree in, Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.

Position also requires completion of a university-level course/research project/internship/thesis, or 6 months of experience in each of the following:
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, MapReduce, Sawzall, Bigtable, or Spark
5. Developing and debugging in C, C++, and Java
6. Scripting languages: 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 …

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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs

Tasks

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
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

Skills

Algorithms Bigtable C C++ Code editors Compilers Computer graphics Computer Science Computer Vision Databases Data Mining Data processing Data Regression Debugging Deep Learning Design Developing Distributed Systems Emacs Engineering Git Hadoop Haskell HBase Human-Computer Interaction Industry experience Java Linux Machine Learning MapReduce MXNet Natural Language Processing Network Distribution Network Distribution Software Networking Operating Systems Operating Systems-level Software Optimization Perforce Perl PHP Pig Programming Programming languages Python PyTorch 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 TensorFlow UNIX VIM Web

Experience

0 years

Education

Applied Sciences Business Computer Engineering Computer Graphics Computer Science Computer Software Design Engineering Master Master’s Degree in Computer Science Mathematics Physics Related Field Technology

Timezones

America/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