US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Set the technical direction for the team by collaborating with cross-functional partners and peer teams.
Boost Google Ads sellers' productivity and impact through GenAI solutions.
Work within changing, cross-functional teams to deliver engineering results.
Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency.).
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging).
3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Experience utilizing Agentic AI frameworks or developer kits to build and deploy autonomous AI systems.
Experience working with Generative AI technologies (e.g., leveraging Large Language Models (LLMs) in application development).
Preferred qualifications
Experience applying generative artificial intelligence in production applications and solving real-world problems.
Experience with Google Ads systems.
Experience with the full life cycle of software and artificial intelligence application development.
Experience making data-driven decisions to solve technical problems.
Ability to guide teams to iterate quickly through changing technologies and user expectations.
Ability to adapt to changes and make decisions to drive progress.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging).
3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Experience utilizing Agentic AI frameworks or developer kits to build and deploy autonomous AI systems.
Experience working with Generative AI technologies (e.g., leveraging Large Language Models (LLMs) in application development).
