Meta Looking for Software Engineer, Machine Learning – Reality Labs at United States Full Time

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what’s to come. We’re the people helping to define the metaverse. We may not have all the answers. But together, we’re getting closer.

Software Engineer, Machine Learning – Reality Labs Responsibilities:

• Leading projects or small teams of people to help them unblock, advocating for ML excellence
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
• Suggest, collect and synthesize requirements and create effective feature roadmaps
• Code deliverables in tandem with the engineering team

Minimum Qualifications:

• 5+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
• 1+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a 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
• Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications:

• Masters degree or PhD in Computer Science or a related technical field
• Exposure to architectural patterns of large scale software applications

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