Description

You will design, build, and deploy scalable machine learning systems for generative AI, intelligent media understanding, and advertising intelligence. You'll own the full model lifecycle from prototype to production, collaborating with a cross-disciplinary team to invent next-generation media technologies.

Requirements

• Strong foundation in mathematics, machine learning, and computer science
• Experience in cloud engineering, DevOps, and computer vision
• Ability to combine research with production
• Stay up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising
• Experience with scalable ML pipelines and cloud architectures

Responsibilities

• Deploy scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production
• Oversee full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations
• Design uncertainty metrics and communicate results to technical and non-technical stakeholders
• Gather and compile datasets, define annotation ontologies, audit operations, and ensure data quality
• Integrate services from other teams and collaborate with product and engineering teams