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Position: Software Engineer, Machine Learning
Institution: Meta
Location: Tel Aviv, London, Israel, United Kingdom
Duties: 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 escalate 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
Requirements: Masters degree or PhD in Computer Science or a related technical field; 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
   
Text: Software Engineer, Machine Learning 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 escalate 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 Masters degree or PhD in Computer Science or a related technical field; 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
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