Senior Staff Software Engineer, AI/ML, Multimodal Rich Features

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google LLC in Mountain View, CA, seeks a Senior Staff Software Engineer, AI/ML, Multimodal Rich Features to drive advanced ML systems. You will lead design for multimodal features, guide architecture decisions, and collaborate across teams to ship production-grade AI capabilities at scale.

The role emphasizes leadership, system optimization for ML pipelines, and hands-on contribution to model integration with LLMs, with a focus on delivering high-quality user experiences and measurable impact.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years in a technical leadership role and 5 years managing people.
• 5 years leading design for ML products and optimizing ML-enabled systems.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Set technical strategy and prioritization for the multimodal rich features domain.
• Resolve deep technical issues at the intersection of quality, new features, infra, and model training.
• Drive team execution and deliver on top-line metrics.
• Identify cross-workstream opportunities to connect the dots.
• Mentor and coach engineers to accelerate career growth.

Skills

Technical leadership

People management

ML product design

ML systems optimization

Generative AI / LLM integration

Education

Bachelor’s degree or equivalent practical experience

Job description

Senior Staff Software Engineer, AI/ML, Multimodal Rich Features

Share Senior Staff Software Engineer, AI/ML, Multimodal Rich Features

Google Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in a technical leadership role, and 5 years managing people.
  
• 5 years of experience leading design for machine learning products and optimizing systems that incorporate machine learning.
• Experience integrating generative AI tools or large language model (LLM) interfaces into workflows.

Preferred qualifications:

• Experience supporting and developing the careers of engineering team members.
• Experience working on user-facing machine learning products.
• Experience setting technical direction and scaling technical impact on software engineering teams.
• Experience in data analysis with a metrics-first perspective and quality evaluation.

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.

Search users increasingly expect rich, visual, and personalized content in their AI Mode and AI Overview responses. Our team builds memory and personalization for multimodal queries, including Google Lens traffic and increasingly complex questions that may combine text, images, and other file inputs. Our tech stack combines classic retrieval/ranking of image results with LLM-native visual capabilities.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google .

• Set technical strategy and prioritization for the multimodal rich features domain.
• Solve deep technical issues collaboratively at the intersection of core quality, new features, infrastructural optimizations, and model training.
• Drive team execution and consistently deliver on top-line metrics.
• Spot opportunities proactively to connect the dots across multiple workstreams.
• Accelerate team members' career growth by establishing next-level scope and providing regular coaching.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.