Machine Learning Engineer

Why PlayStation

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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.

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Machine Learning Engineer - Pricing

Do you want to join a Machine Learning team committed to enhancing the PlayStation experience for hundreds of millions of users and also game studios The work we do delivers highly impactful pricing recommendations to our studios and has strong leadership sponsorship. The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences by designing coding training documenting cost-effectively deploying and evaluating business-critical machine learning and AI systems.

We are looking for someone who can architect and build delightful production-grade products for customer-facing experiences in an agile environment collaborating with teams across Engineering Product and Business. You will work on a project backed by executive leadership and poised to significantly influence revenue and user engagement.

What Youll Be Doing:

• Build and maintain ML models that quantify product price-elasticity and cannibalization effect to support multi-period promotions.
• Refine time-series forecasting algorithms to predict demand across multiple regions and product lines.
• Develop optimization workflows (OR-Tools) that balance sales growth and business constraints.
• Refine clustering algorithms to identify lookalike products for smarter pricing and promotional strategies.
• Apply a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of classification regression clustering time series forecasting uplift modeling and synthetic data generation.
• Build scalable and resilient ML systems along with appropriate monitoring and continuous evaluation frameworks.
• Work closely with cross-functional partners in business and product to translate requirements into effective scalable ML-driven solutions.
• Collaborate with other engineering functions in Client Server and QA to drive ML integrations and deliver results.
• Collaborate with ML application teams that power product personalizations and search to further enhance the core experiences of our players.

What Were Looking For:

• Advanced degree (Masters or Ph.D.) in CS/Statistics/Data Science/Operations Research/Econometrics specializing in machine learning and optimization problems.
• 1 years of industry experience applying time-series models in production with hands-on experience in forecasting libraries (e.g. with LightGBM Prophet).
• Proven track record with mixed-integer programming or constraint solvers for pricing or resource allocation.
• Strong programming skills in Python Java with proficiency in ML libraries and frameworks like TensorFlow PyTorch Spark Mlib and scikit-learn
• Good ML systems engineering experience (such as job orchestration training pipelines deployment serving monitoring).
• Expertise in measuring the performance unsupervised and supervised models.
• Proven record of successfully delivering commercial machine learning products from conception to production.
• Experience with software engineering principles modern ML tech stacks and use of Databricks Tecton Snowflake and cloud services like AWS for machine learning development and deployment.

Preferred Qualifications:

• Previously worked with revenue-management systems.
• Experience in a variety of machine learning and AI techniques such as forecasting models constraint optimization classification models on structured data clustering and other supervised and unsupervised learning models.
• Experience working in fast-paced environments on business-critical missions.
• Good communication skills and the ability to convey complex ML concepts to a non-ML audience.
• Experience in e-commerce digital goods or gaming industries.
• Experience with recommender systems and similarity matching algorithms.
• Background in experimentation design causal inference uplift modeling online A/B testing frameworks and relevant metrics.
• Experience with large-scale structured data manipulation and processing.
• Experience working with custom ML platforms for continuous integration deployment and monitoring of machine learning models.

Please note Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

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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.