Machine Learning Engineer

Belgium, Zaventem

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.

Role overview:

Interested in working on strategic initiatives that allow for creativity and room for growth? Do you have strong passion for using data and cutting-edge technologies to drive the best business decisions? If so, read on…

Sony Interactive Entertainment’s (SIE) Global Fraud Management and Global Payment (GPFM) Teams are the guardians of both customer trust and purchase success for PlayStation and the PlayStation® Network (PSN). We provide innovative solutions to support every element of the network, various platform services, customer service teams, a diverse developer community, and more.

We recently launched a next generation risk platform and machine learning framework that support the global, fast-growing PlayStation® Network customer base, world class PlayStation® consoles, hand-held devices, and many more! In doing so, the ability to extract information from data and drive action that help achieve business goals is essential. GPFD’s data science team is responsible for evaluating online user activity data for potential fraud and revenue optimization across this platform, and the engineering team empowers them. We are looking for a Machine Learning Engineer with experience in productionizing machine learning models to join our GPFD engineering team to support this data science platform.

What you'll be doing:

  • Build and enhance machine learning pipelines supporting development, experimentation, continuous integration/delivery, and monitoring of ML models.
  • Analyze large data sets using methods like hypothesis testing and experimental design.
  • Develop, optimize, and deploy machine learning algorithms and predictive models to solve complex business problems, particularly in fraud detection and payment optimization.
  • Conduct robust statistical analysis on big data using various techniques such as hypothesis testing, design of experiments, and inferential statistics.
  • Create and maintain cloud-based solutions using AWS services for data streaming, processing, and storage.
  • Improve decision performance by analysing misclassification cases, hit rates, and customer feedback.
  • Collaborate with multi-functional teams to understand business challenges and recommend data-driven solutions.
  • Ensure high levels of service availability and implement automated, repeatable deployment processes.

What we're looking for:

  • Master's degree in Computer Science, Machine Learning, or related field; or Bachelor's degree with equivalent work experience,
  • Proven track record (3+ years) of implementing end-to-end data science solutions, from data processing to model deployment,
  • Strong programming proficiency in Python or Java,
  • Demonstrated expertise in working with large-scale SQL analytics databases,
  • Experience with cloud services and architectures, such as AWS services,
  • Strong communication abilities to work with cross functional teams.

Desirable skills:

  • Understanding of adversarial predictive modeling techniques, data manipulation, unstructured data processing, and data value assessment,
  • Knowledge of fraud and other ecommerce risks,
  • Commitment to continuous learning and staying up-to-date with the latest developments in machine learning, data science, and cloud technologies.

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights

 

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, maternity or parental status, 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.

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Thank you so much for considering a role with us! Should this position not be the perfect fit right now, we would be excited about the chance to explore future opportunities with you. By selecting "Yes," you’ll allow us to keep your details on file for the next 24 months. This means we can reach out to you about other exciting roles that may fit your skills and interests as they come up. We’re eager to stay connected!  

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Sony Interactive Entertainment Europe Limited (‘SIEE’) is committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Collecting diversity data is intended to help SIEE maintain equal opportunities best practice and identify barriers to workforce equality and diversity. Please read this notification and consent before you decide whether to submit your diversity data in the survey below. 

SIEE will treat all survey responses in the strictest confidence, and our personnel with decision-making role in the recruitment process can only see aggregated reports on the results of the survey and cannot allocate these aggregated reports to individual applicants. There is no obligation on you to provide diversity data, SIEE will treat all applicants the same regardless of whether they provide diversity data or not, and any responses to the survey will not affect our decision on your application.

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