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# Software Engineer, Machine Learning

- **Company:** Meta Platforms, Inc.
- **Location:** Burlingame, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), PHP (Programming Language), Artificial Intelligence, Software Applications, Architectural Patterns, C++ (Programming Language), Computer Engineering, Data Mining, Software Debugging, Perl (Programming Language), Python (Programming Language), Machine Learning, Pattern Recognition, Recommender Systems, Shell Script, Software Engineering, Scripting, Virtual Reality, Technical Debt, Information Technology, Machine Learning Operations, Messenger
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_e2b96b051cfb4f47694d0f983682ab6b

## About the Role

* 6+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
 * 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field
 * Experience with developing machine learning models at scale from inception to business impact
 * Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
 * Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
 * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience., * Masters degree or PhD in Computer Science or a related technical field
 * Exposure to architectural patterns of large scale software applications

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

## Description

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web., * Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence

 * Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
 * Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
 * Leading a team from a technical perspective to develop ML best practices and influence engineering culture
 * Be a go-to person to elevate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
 * Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
 * Suggest, collect and synthesize requirements and create effective feature roadmap
 * Code deliverables in tandem with the engineering team