Engineering Manager, Machine Learning
Do you want to lead a team building advanced decision systems that directly shape monetisation strategies across the PlayStation ecosystem? Are you passionate about combining machine learning and operational research to solve complex, high-impact business problems at scale? We are building systems that power decisions across a global catalogue of games, including base pricing across lifecycle stages of a game, while balancing revenue growth, player experience, and cannibalisation across titles.
We are looking for an experienced Machine Learning Engineering Manager to lead a hybrid team of Machine Learning engineers and Operations Research experts. You will work on high-impact, executive-visible initiatives, partnering closely with Product, Business, and Engineering teams to translate complex, ambiguous problems into scalable, production-ready systems.
What You’ll Do
Lead and grow a team of machine learning engineers and optimisation specialists, fostering collaboration across disciplines and raising the bar for technical excellence.
Build a high-performing, inclusive team by:
Coaching and developing engineers across ML and OR disciplines
Providing clear feedback, career growth, and performance management
Hiring and retaining top talent
Improve large-scale optimisation systems that:
Incorporate predictive signals from machine learning models (e.g., demand forecasting, item elasticity).
Leverage optimisation frameworks using Gurobi to make decision recommendations under known business constraints.
Partner closely with Product, Business, and regional stakeholders to:
Translate business goals and constraints into optimisation frameworks.
Align on tradeoffs between short-term performance and long-term strategy.
Resolve conflicting priorities through data-driven decision-making.
Ensure systems are explainable, trustworthy, and actionable by:
Providing clear reasoning behind model-recommended decisions.
Enabling debugging and traceability across ML and optimisation components.
Driving adoption with business and product stakeholders.
You Bring
Deep understanding of the relevant ML and OR domains and infrastructure with a track record of delivering complex ML and OR systems into production.
Proven strong experience leading and developing high-performing ML and OR teams, including: Growing engineers across different skill sets (Machine Learning, ML Infra, Operational Research); Driving career growth and performance evaluation; Hiring and retaining high-performing teams.
Demonstrated ability to create a strong team culture with high accountability, creativity and continuous improvement.
Ability to provide technical direction at the architecture level while fostering pragmatic, high-quality, high-velocity execution.
Demonstrated success driving cross-functional initiatives that require influencing without direct authority, in fast-moving environments.
Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
MS, or PhD in Computer Science, Machine Learning, Operational Research
Preferred Qualifications
Hands‑on experience with tools such as Gurobi, Snowflake, Databricks, and PySpark.
Experience in pricing, promotions or marketplace optimisation.
Experience in modelling demand elasticity and forecasting.
Experience in the gaming or digital content industry.
Experience working with globally distributed functions and teams.
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 reallocation), 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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