Senior ML Engineer — Creative AI for Ad Optimization

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

Job summary

Google is seeking a Senior Software Engineer in Creative Composition Intelligence to drive the design, development, and productionization of advanced ML models for optimizing Ad creative composition and delivery. You will lead efforts to accelerate innovation in automatically constructing and selecting the best creative elements for any given context.

In this role, you will tackle new, ambiguous problems at the intersection of GenAI, ML, large-scale distributed systems, and Ad product needs.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 5 years of experience with software development using one or more general-purpose programming languages (e.g., Python, Java, C++, Go).
• 3 years of experience testing and launching software products, and 3 years of experience with software design and architecture.

Responsibilities

• Lead end-to-end development of novel machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative AI, from concept to production.
• Define the technical strategy and roadmap for key ML components, ensuring alignment with product goals and driving measurable impact through experimentation.
• Build and integrate scalable ML pipelines and services, collaborating with infrastructure and serving teams to power creative optimization.
• Analyze performance metrics, deriving insights, and implementing algorithmic improvements for creative selection, freshness, and exploration.
• Mentor engineers and promote best practices in applied machine learning and system design.

Skills

5 years dev experience

3 years testing & launching

3 years design & architecture

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Senior Software Engineer in Creative Composition Intelligence to drive the design, development, and productionization of advanced ML models for optimizing Ad creative composition and delivery. You will lead efforts to accelerate innovation in automatically constructing and selecting the best creative elements for any given context.

In this role, you will tackle new, ambiguous problems at the intersection of GenAI, ML, large-scale distributed systems, and Ad product needs.