Sr. Backend Software Engineer - Machine Learning
United States, San Mateo, 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, PlayStation™Now, 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.
Sr. Backend Software Engineer - Machine Learning
San Mateo, CA
PlayStation isn’t just the Best Place to Play —it’s also the Best Place to Work! We’ve excited gamers since 1994, when we launched the original PlayStation. Today, we’re recognized as a global leader in interactive and digital entertainment and power 112 million users globally.
Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Backend/server Software Engineer will deliver and optimize interactions across PlayStation experiences and systems by designing, building, testing and cost-effectively deploying real-time client-facing online Machine Learning service.
We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across Engineering, Product and Design. Further, you will be immersed in ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.
This is a mid-level backend/server engineer position, but we will also gladly consider senior level candidates.
You Will:
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Design, build, deploy and maintain Java-based backend micro service that integrates with Machine Learning pipeline
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Optimize resource and infrastructure cost and extend micro service to use new technology
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Support production issues and actively serve on-call schedule
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Own the implementation end to end by effectively communicate with non-technical stakeholders on requirements and deliverables
You Bring:
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BS in engineering or computer science
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Proficiency in Java and knowledge in Python or Scala
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5+ years of industry work experience in large scale and low latency Java/Kubernetes service that serves real-time customers.
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Machine Learning knowledge and experience is a big plus.
Preferred qualifications:
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Experience with system distributed cloud-based environments, such as AWS.
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Experience with tech stacks such as Spark, Kubernetes, Jenkins, Prometheus.
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Experience with machine learning tools such as MLlib, Tensorflow, and scikit-learn.
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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.
We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation.
#LI-JA1
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.
Tags: Agile AWS Computer Science Engineering Kubernetes Machine Learning Python Scala Scikit-learn Spark TensorFlow Testing VR
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