Karkidi
Machine Learning Engineer - Core Ads Ecommerce
Karkidi, Menlo Park, California, United States, 94025
Machine Learning Engineer - Core Ads Ecommerce Responsibilities
If the following job requirements and experience match your skills, please ensure you apply promptly.Partner with product teams and other engineers to solve Shops Ads business problems through MLPlay a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceRe-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 appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe 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 itSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables that will tie the ML solutions you develop to our ad delivery stackMinimum QualificationsExperience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred QualificationsMasters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications
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If the following job requirements and experience match your skills, please ensure you apply promptly.Partner with product teams and other engineers to solve Shops Ads business problems through MLPlay a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceRe-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 appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe 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 itSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables that will tie the ML solutions you develop to our ad delivery stackMinimum QualificationsExperience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred QualificationsMasters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications
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