Machine Learning Engineer Intern
United States, San Francisco, CA
Applications have closed
PlayStation Global
Erkunde die neue Generation von PlayStation 4- und PS5-Konsolen – erlebe immersives Gaming mit Tausenden Spiele-Hits aus allen Genres, die die Regeln für das, was eine PlayStation-Konsole kann, neu schreiben.Why PlayStation?
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
We are Applied Machine Learning & AI (AMEG).
We build high performing, scalable and operational ML/AI empowered software products and capabilities.
We partner with SIE products and business to design targeted and practical ML/AI strategy and capability roadmap to support and boost their respective business vision and goals through accelerated and broadened value creation. We execute the roadmap by bridging state of the art innovations (internal & external) and practical business use cases.
We enable and connect broader ML/AI community, by helping evolving the ML platform, developing common enabling frameworks, and publishing best practice guidelines.
Responsibilities
An intern will be a part of our scrum team working on a standalone ML project with scopes ranging from recommendation to speech recognition.
By the end of the internship, the followings will be delivered:
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Data Exploration and Analysis
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Modeling Building
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Offline Evaluation and/or Online evaluation
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Model Performance Optimization
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Productization plan
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Technical presentation and demo\
Qualifications
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Projected to graduate in 2024
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Pursuing a graduate degree in engineering, data science with a specialization in machine learning or equivalent technical degree
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Self-driver and ability to accomplish end-to-end task with minimum supervision
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Strong Machine Learning and Statistics knowledge
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Strong coding skill and software engineering knowledge
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Eagerness to participate in and contribute to Machine Learning community, framework and best practices
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Industry experience in large scale distributed Machine Learning system is a big plus
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy ASR Engineering Machine Learning Scrum Statistics VR
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