-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the Play Station brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting‑edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world.
Our role at SIE is to create and nurture the experiences under the Play Station brand, a name synonymous with entertainment excellence and creativity.
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the Play Station brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting‑edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world.
Our role at SIE is to create and nurture the experiences under the Play Station brand, a name synonymous with entertainment excellence and creativity.
Do you want to join an AI/Machine Learning Engineering team committed to delivering the Play Station experience for millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The AI/ML Engineering Group delivers optimized interactions across Play Station experiences and systems by designing, coding, training, documenting, cost‑effectively deploying and evaluating very large‑scale machine learning systems.
We are looking for a Staff Program Management who helps us deliver delightful AI and ML products and experiences for millions, in an agile environment, collaborating with teams‑across Engineering, Product and Design. Further, you will be immersed in AI/ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.
This role sits inside an AI/ML Engineering organization delivering production machine learning systems at platform scale, personalization, recommendation, experimentation, or trust & safety models serving a large, global user base. The team designs, trains, deploys, and continuously evaluates prooducts in production, spanning applied science, AI, ML infrastructure, and engineering.
Key Responsibilities- Own the delivery roadmap for one or more AI/ML systems in production, from model concept through training, deployment, and post‑launch monitoring.
- Define success with our business partners before delivery begins.
- Partner with applied scientists, Data Engineering, and ML Engineering to translate model performance targets (accuracy, latency, cost‑per‑inference) into a program plan with clear milestones and dependencies.
- Drive alignment across engineering, applied science, product, and data analytics on scope, tradeoffs, and sequencing when priorities are ambiguous or contested.
- Track model and system health post‑launch, adoption, drift, cost, and incident rate — and drive remediation when metrics degrade, rather than treating launch as the finish line.
- Manage cross‑team and cross‑timezone dependencies for distributed system and ML teams, surfacing schedule risk early.
- Own vendor and third‑party tooling relationships that intersect with ML delivery (labeling, compute, evaluation tooling), including production…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).