Senior/Staff Machine Learning Engineer

TL;DR

Senior/Staff Machine Learning Engineer (AI): Enhancing the PlayStation experience for hundreds of millions of users and game studios by designing, coding, training, deploying, and evaluating business-critical machine learning and AI systems with an accent on delivering highly impactful pricing recommendations, optimizing interactions, and influencing revenue/user engagement. Focus on architecting and building production-grade ML models for customer-facing experiences, leading full ML development cycles, and applying state-of-the-art ML/deep learning technologies in areas like time-series forecasting, classification, and clustering.

Location: Global Remote

Company

hirify.global is a global leader in entertainment, producing the PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and acclaimed PlayStation software titles.

What you will do

• Apply a broad spectrum of state-of-the-art machine learning and deep learning technologies in areas like classification, clustering, time series forecasting, and synthetic data generation.
• Lead the design and implementation of ML models quantifying product price-elasticity and cannibalization, and own time-series forecasting algorithms.
• Refine clustering algorithms to identify lookalike products for smarter pricing and promotional strategies.
• Architect and lead the implementation of the full machine learning development cycle, including feature engineering, automated training, evaluation, and deployment, ensuring accuracy and scalability.
• Work closely with cross-functional partners in business, product, engineering, and QA to translate requirements into effective, scalable, ML-driven solutions and enhance player experiences.
• Mentor and guide junior machine learning engineers, providing technical leadership and raising the bar of technical quality, and influence technology strategy and product roadmap through an ML/AI lens.

Requirements

• Advanced degree (Master’s or Ph.D.) in CS/Statistics/Data Science, specializing in machine learning problems.
• 8+ years of industry experience building, deploying, and owning machine learning systems in production (e.g., orchestration, pipelines, training, inference, monitoring).
• Strong experience in a variety of machine learning and AI techniques, such as time-series/sequential modeling, classification models, embeddings, and optimization.
• Strong programming skills in Python and Java, with proficiency in ML libraries and frameworks like PyTorch, Tensorflow, and Spark Mlib.
• Excellent communication skills and ability to bridge technical solutions with business objectives, conveying complex concepts to stakeholders.
• Expertise in measuring the performance of unsupervised and supervised models.
• Proven track record of successfully delivering large-scale commercial machine learning products from conception to production in technical leadership roles.
• Experience with software engineering principles, modern ML tech stacks, and cloud services like AWS, Databricks, Snowflake, and Tecton for ML development and deployment.

Nice to have

• Proven ability to quickly diagnose ill-defined problems, identify high-leverage ML or non-ML solutions, and drive them to production in ambiguous environments.
• Experience working in e-commerce, digital goods, or gaming industries.
• Experience with recommender systems and similarity matching algorithms.
• Experience in running online A/B testing for ML models and improving relevant metrics.
• Experience with large-scale structured data manipulation and processing or custom ML platforms for continuous integration, deployment, and monitoring.

Culture & Benefits

• Join a global leader in entertainment, working with the PlayStation brand.
• Opportunity to work on a project backed by executive leadership, poised to significantly influence revenue and user engagement.
• Be part of an inclusive environment that empowers employees and embraces diversity.
• PlayStation is a Fair Chance employer and an Equal Opportunity Employer.