Staff Software Engineer, AI/ML Quality, Shopping Agent, Cloud Applied AI
About the role
MINIMUM QUALIFICATIONS:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years
of experience with software design and architecture.
- 5 years of experience leading ML design and optimizing end-to-end Machine
Learning (e.g., model deployment, model evaluation, data processing,
debugging, fine tuning).
- 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large
Vision Models) or with GenAI-related concepts (language modeling, computer
vision).
PREFERRED QUALIFICATIONS:
- Master’s degree or PhD in Engineering, Computer Science, or a related
technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams
and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving
cross-functional, or cross-business projects.
- Experience with retail workflows (catalog, cart, checkout) and customer
support nuances that design user-centric test scenarios.
- Experience launching and maintaining high-availability consumer-facing AI
products.
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.
With your technical expertise you will manage project priorities, deadlines, and
deliverables. You will design, develop, test, deploy, maintain, and enhance
software solutions.
Join the Shopping Agent team to revolutionize retail with Gemini Enterprise for
Customer Experience. Our mission is to build the operational backbone for modern
commerce, embedding intelligence directly into a retailer’s infrastructure to
strengthen customer relationships. We are launching a rapidly deployable,
multimodal Shopping Agent - a full-stack concierge capable of complex reasoning,
virtual try-on, and seamless sales and support. By leveraging Google’s
foundational AI (Gemini, Vertex AI), we aim to create a "flywheel effect" where
every new agent enhances the entire ecosystem.
In this role, you will help drive the quality of a product designed to transform
brands from invisible warehouses into hyper-personalized, intelligent
destinations..
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our
portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX
Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience
Insights), along with other vertical and domain packaged solutions. We enable
high adoption and speed to value by building solutions that are quickly
deployed, delivering new 0-to-1 capabilities with startup agility. Team members
operate at the forefront of AI, collaborating directly with model builders with
unprecedented speed. Join us to work on cutting-edge projects and shape the
future of AI in a fast-paced, collaborative, and impactful environment.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
- Lead the definition and execution of quality metrics for the Shopping Agent,
ensuring response accuracy, safety, and brand alignment across multimodal
interactions (text, voice, image).
- Design and implement automated evaluation pipelines and "golden datasets" for
complex shopping journeys, including virtual try-on, reasoning, and support
queries.
- Collaborate with research and modeling teams to perform "quality
hill-climbing" for foundational models, optimizing prompts and grounding to
reduce hallucinations and improve conversion outcomes.
- Develop robust integration tests for agentic actions (e.g., add-to-cart,
checkout) and ensure seamless interoperability between the Shopping Agent and
Customer Service Agent platforms.
Responsibilities
- Define and execute quality metrics for the Shopping Agent, including accuracy, safety, and brand alignment.
- Build automated evaluation pipelines and golden datasets for complex shopping journeys.
- Collaborate with research and modeling teams to improve model quality, prompts, grounding, and conversion outcomes.
- Develop integration tests for agentic actions and ensure interoperability with Customer Service Agent platforms.
Qualifications
- Bachelor's degree or equivalent practical experience.
- 8 years of software development experience.
- 5 years of experience testing and launching software products, and 3 years in software design and architecture.
- 5 years leading ML design and optimizing end-to-end machine learning.
- 2 years of experience with GenAI techniques or related concepts.
- Preferred: Master's degree or PhD in a related technical field.
- Preferred: 8 years of experience with data structures and algorithms.
- Preferred: 3 years in technical leadership and 3 years working in a complex, matrixed organization.
Benefits
- 20% target bonus
- Equity
- Google benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.