STAFF 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.

PREFERRED QUALIFICATIONS:

• Previous work with revenue-management systems.
• Experience in a variety of machine learning and AI techniques, such as forecasting models, classification models on structured data, embeddings, clustering, supervised and unsupervised learning models, deep learning, and optimization.
• Experience working in fast-paced environments, on business-critical missions.
• 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 in building large-scale online customer-facing microservices.
• Experience working with custom ML platforms for continuous integration, deployment, and monitoring of machine learning models.
• Contributions to the machine learning community through publications, open-source projects, or presenting at conferences and workshops.

Please refer the Job description for details