PlayStation
Machine Learning Engineer - Recommender systems Ireland, Dublin
PlayStation, Snowflake, Arizona, United States, 85937
Ireland, Dublin
Overview
PlayStation isnt just the Best Place to Play
0 its also the Best Place to Work. Today, were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, 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 Group Corporation. Machine Learning Engineer, Recommendation System
Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? We deliver impactful ML models and systems that serve an increasingly dynamic and personal experience. The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, deploying, and evaluating very large-scale machine learning systems. 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 Business. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will
Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations. Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of recommendation systems. Create metrics and design A/B test plans to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders. Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code implementations. Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data technologies. Produce reusable code and conduct peer code reviews according to standard methodologies in Python. You Bring
Masters degree in CS/Statistics/Data Science, with a specialization in machine learning. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data. Proficient with Machine learning frameworks such as Tensorflow, PyTorch, Spark MLlib. Industry experience in designing and implementing large-scale machine learning-based recommender systems. Industry experience in A/B testing, experimentation design and test analysis. Strong coding, machine learning, and statistical knowledge. Preferred Qualifications
Experience with Databricks, Snowflake, Spark, Tecton, Kubernetes, Helm, Jenkins. Familiarity with standard methodologies in large-scale DL training/Inference. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Experience with LLM applied in recommendation systems. Proactive self-starter with experience working in fast-paced environments. Equal Opportunity
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, colour, nationality, ethnic or national origin, religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or parental, trade union membership or membership in any other legally protected category. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Apply for this job
To apply, please submit your application through the official PlayStation careers site.
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PlayStation isnt just the Best Place to Play
0 its also the Best Place to Work. Today, were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, 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 Group Corporation. Machine Learning Engineer, Recommendation System
Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? We deliver impactful ML models and systems that serve an increasingly dynamic and personal experience. The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, deploying, and evaluating very large-scale machine learning systems. 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 Business. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will
Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations. Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of recommendation systems. Create metrics and design A/B test plans to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders. Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code implementations. Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data technologies. Produce reusable code and conduct peer code reviews according to standard methodologies in Python. You Bring
Masters degree in CS/Statistics/Data Science, with a specialization in machine learning. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data. Proficient with Machine learning frameworks such as Tensorflow, PyTorch, Spark MLlib. Industry experience in designing and implementing large-scale machine learning-based recommender systems. Industry experience in A/B testing, experimentation design and test analysis. Strong coding, machine learning, and statistical knowledge. Preferred Qualifications
Experience with Databricks, Snowflake, Spark, Tecton, Kubernetes, Helm, Jenkins. Familiarity with standard methodologies in large-scale DL training/Inference. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Experience with LLM applied in recommendation systems. Proactive self-starter with experience working in fast-paced environments. Equal Opportunity
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, colour, nationality, ethnic or national origin, religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or parental, trade union membership or membership in any other legally protected category. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Apply for this job
To apply, please submit your application through the official PlayStation careers site.
#J-18808-Ljbffr