Staff Machine Learning Engineer, Enterprise Enablement

San Diego, CA

Are you interested in enabling PlayStation's internal teams to innovate, streamline operations, and achieve digital transformation through brand-new machine learning and AI solutions? The Enterprise Enablement Machine Learning team is committed to delivering powerful AI/ML capabilities that support our internal business functions such as HR, Finance, Supply Chain, IT, and more.

Seeking a Staff Machine Learning Engineer to develop scalable ML/AI solutions that improve productivity and decision-making across the enterprise. Ideal for someone passionate about driving internal transformation through AI and collaborating with diverse collaborators to solve complex problems.

Shape our technical strategy for enterprise ML/AI and work with groundbreaking technologies, tools, and processes to deliver robust solutions.

• Design, develop, and deploy machine learning models and systems to optimize internal operations, automate workflows, and enhance decision-making for internal business functions like HR, Finance, Supply Chain, IT and more.
• Collaborate with internal collaborators, business IT teams, and business teams to transform complex business and operational needs into ML/AI solutions that align with enterprise goals.
• Guide and mentor junior ML engineers, fostering a collaborative environment and helping the team adopt standard processes in enterprise ML/AI development.
• Drive the exploration and application of brand-new Generative AI technologies (e.g., LLMs, LVMs) to improve processes such as knowledge management, business intelligence, and employee self-service.
• Develop tools and APIs that enhance enterprise systems, such as ERP, CRM, and collaboration tools, ensuring seamless integration and high performance.
• Influence enterprise technology strategy by integrating ML/AI into key business processes, contributing to PlayStation's overall enterprise enablement strategy.
• Implement and advocate for fairness, accountability, and transparency in enterprise ML/AI solutions.

• Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Data Science, or a related field specializing in machine learning, or equivalent experience.
• Strong programming skills in languages such as Python, Java, or Scala, with proficiency in machine learning libraries and frameworks like TensorFlow, PyTorch, Mlib, and others.
• Proven track record of successfully delivering large-scale commercial machine learning products from conception to production, in technical leadership roles.
• Expertise in a variety of machine learning and AI techniques, such as supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and computer vision.
• Experience with the latest industry knowledge in Generative AI technology with the ability to formulate GenAI-specific use cases and implementations that are optimized for cost and scalability.
• Experience with software engineering principles, big data stacks such as Spark, and use of cloud services like AWS, or GCP for machine learning development and deployment.
• Excellent communication skills, both verbal and written, with the ability to explain complex technical concepts to collaborators with limited prior knowledge in ML/AI.
• Excellent problem-solving skills, with the ability to navigate through ambiguity to achieve results.

• Experience developing AI/ML-powered tools for enterprise applications and integrating with enterprise systems such as ERP, CRM, HR management platforms, Enterprise knowledge management, etc.
• Contributions to the machine learning community through publications, open-source projects, or presentations.
• Experience working with structured and unstructured data, including documents, images, and text, in enterprise contexts.

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