Senior Software Engineer, AI/ML, Creative Intelligence

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 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.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical field.
• Experience with ML frameworks (e.g., TensorFlow, JAX) and production ML

platforms (e.g., TFX, AdBrain).

• Experience with large-scale data processing and distributed systems, and with

data structures and algorithms.

• Experience with generative models and their applications.
• Experience working with and mentoring junior engineers.
• Familiarity with online advertising systems, creative optimization,

personalization, or recommender systems.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change

how billions of users connect, explore, and interact with information and one

another. Our products need to handle information at massive scale, and extend

well beyond web search. We're looking for engineers who bring fresh ideas from

all areas, including information retrieval, distributed computing, large-scale

system design, networking and data storage, security, artificial intelligence,

natural language processing, UI design and mobile; the list goes on and is

growing every day. As a software engineer, you will work on a specific project

critical to Google’s needs with opportunities to switch teams and projects as

you and our fast-paced business grow and evolve. We need our engineers to be

versatile, display leadership qualities and be enthusiastic to take on new

problems across the full-stack as we continue to push technology forward.

As a Senior Software Engineer in Creative Composition Intelligence, you will be

driving the design, development, and productionization of advanced Machine

Learning models for optimizing Ad creative composition and delivery. You will

lead efforts to accelerate innovation in how we automatically construct and

select the best creative elements for any given context.

In this role, you will take on new, ambiguous problems at the intersection of

GenAI, ML, large-scale distributed systems, and Ad product needs. You will be

expected to set technical direction, influence across teams, and mentor other

engineers, as well as in creating and delivering impactful systems.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.