Staff Software Engineer, AI/ML, ML Infrastructure, Search Ads

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience programming in Python or C++.
• 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).

• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• 2 years of experience with GenAI techniques (e.g., large language models,

multi-modal, large vision models) or with GenAI-related concepts (e.g.,

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.

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.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine

learning and Generative AI models like Gemini to power a multi-billion dollar

global business.

Our work directly impacts billions of users by protecting users from harm,

improving ad quality, and optimizing campaigns for advertiser

return-on-investment. We foster a culture of deep collaboration, partnering

closely with teams like Google Research and DeepMind to solve complex

challenges. Join us to work on state-of-the-art AI, take on problems at an

unparalleled scale, and build the next generation of advertising technology.

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:

• Work across many different aspects of machine learning infrastructure and

modeling.

• Support new modeling techniques and products for changing infrastructure

(training and serving). Prototype new infrastructure, automation, workflows,

and tooling.

• Analyze and debug performance, and make improvements. Improve robustness,

reliability, usability of infrastructure.

• Collaborate closely with other members of our team and partners to build

systems that take advantage of and integrate seamlessly across our ecosystem.

Engage with modeling teams to explore pain points and novel use cases.

• Research emerging technology and make trade-off decisions on immediate wins

vs longer-term stability.