Software Engineer, Machine Learning - Monetization (PhD)
Meta

Job Info

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 (PhD) 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:

• 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.
• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence.
• 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.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Experience working and communicating cross-functionally in a team environment.
• Exposure to architectural patterns of large scale software applications
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).