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Software Engineer, Machine Learning
MetaMenlo Park, United Statesfull_timeVerifiedPosted 24 Oct 2025
💰 $240,240/yr($239,608/yr – $240,240/yr)
About the role
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
$239,608/year to $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
- 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 classification 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).
- Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field, and 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:
- Filesystems, server architectures, and distributed systems
- Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
- Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
- Scripting languages such as Perl, Python, PHP, or shell scripts
- Python, PHP, or Haskell
- Relational databases and SQL
- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
- Building highly-scalable performant solutions
- Design scalable distributed systems with established partition tolerance, consistency, and availability guarantees
- Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction and
- 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
$239,608/year to $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
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