From making valuable connections between people and businesses to building premium services that deliver high-value experiences, the monetization organization at Meta empowers people and businesses to succeed in the global economy. As Meta focuses on building the next evolution of social experiences, the monetization team plays a crucial role in shaping the communication pathways and financial tools that all sized businesses, especially small to medium ones, need to thrive in the new digital economic environment. And we achieve that from end-to-end product and technology innovation.As a Machine Learning Engineer on the monetization team at Meta, you can help build cutting-edge full-stack technologies that will transform the way people and businesses connect and communicate. You’ll help develop industry-leading solutions that power next-generation, large-scale platforms and AI services to help connect billions of people around the world.

Software Engineer, Machine Learning - Monetization Responsibilities:

• 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
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Minimum Qualifications:

• 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
• Proven experience to translate insights into business recommendations
• Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable
• Knowledge developing and debugging in C/C++ and Java
• Experience with scripting languages such as Perl, Python, PHP, and shell scripts
• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications:

• Exposure to architectural patterns of large scale software applications

About Meta:
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.