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.

Recognized as a global leader in interactive and digital entertainment, Sony Interactive Entertainment (SIE) is responsible for the PlayStation® brand and family of products and services. PlayStation has delivered innovation to the market since the launch of the original PlayStation in Japan in 1994. The PlayStation family of products and services include PlayStation®4, PlayStation®VR, PlayStation®Vita, PlayStation®3, PlayStation®Store, PlayStation®Plus, PlayStation™Video, PlayStation™Music, PlayStation™Now, PlayStation™Vue, PlayStation®Original and acclaimed PlayStation software titles from SIE Worldwide Studios. Headquartered in San Mateo, California, SIE is a wholly-owned subsidiary of Sony Corporation and has global functions and regional headquarters in California, London and Tokyo.

Sony Interactive Entertainment LLC seeks a Sr. Machine Learning Engineer in San Diego, CA to conduct robust statistical analysis of big data using hypothesis testing, design of experiment, and inferential statistics.

Requires a Master’s degree in Statistics, Mathematics, or a related field or equivalent, and two (2) years of experience building end-to-end machine learning solutions using pattern mining, anomaly detection, classification, regression and clustering.

Prior experience must include two (2) years of experience building fraud detection, identity verification, authentication solutions; applying advanced machine learning algorithms including supervised and unsupervised learning to machine learning modeling techniques including feature selection, dimensionality reduction, hyper-parameter tuning, model optimization, and statistics inferences driven by business problems; evaluating machine learning models based on optimization of KPI metrics, including AUC, precision, recall, F1, KS statistics, log-loss, overall misclassification error rate, false positive, and false negative; utilizing K-fold cross-validated sample and out-of-time hold-out sample to ensure generalization; generating visualization and insights from data analysis using Tableau and Python; performing large scale data manipulation and feature engineering for relational databases and structured data format to assess, clean, merge, and analyze large data sets from different data warehouse sources with Hive, Hadoop, MySQL, SQL; and building data pipeline and model deployment in big data cloud environment including Google Cloud.

Telecommuting and/or working from home may be permissible pursuant to company policies.

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.

$180,300—$213,800 USD

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.