Senior Software Engineer, Machine Learning, Vertex AI

_corporate_fare_ Google _place_ Sunnyvale, CA, USA

**Mid**

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

**Minimum qualifications:**

+ Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.

+ 5 years of experience with software development in one or more programming languages.

+ 3 years of experience testing, maintaining, or launching software products, with 1 year of experience in software design and architecture, specifically designing, building, and deploying machine learning models into production

+ 3 years of experience with one or more of the following specialized ML areas: Generative AI, LLMs, Multimodal ML, or related fields.

+ 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging) to support generative models.

**Preferred qualifications:**

+ Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.

+ 5 years of experience with data structures and algorithms, and experience developing Generative AI Media (image or video) models and LLM training pipelines.

+ 1 year of experience in a technical leadership role, and experience articulating technical concepts to cross-functional partners.

+ Experience developing accessible technologies, and experience navigating generative media (e.g., temporal consistency, high-resolution visual fidelity).

+ Experience with GenAI-related publications or translating AI research into enterprise-grade cloud 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.

Our team, Vertex Generative Artificial Intelligence (GenAI) Media, sits at the architectural core of Google’s enterprise creative Artificial Intelligence (AI) strategy. We are the experts transforming generative models into bespoke, high-performance engines for Vertex Artificial Intelligence (Vertex AI) customers. In this role, you will manage the industry's most post-training issues from Multimodal Supervised Fine-Tuning (SFT) to Latent Distillation ensuring our customers can generate brand-aligned, production-grade media that offers a definitive competitive edge. Your mission will be to build the world's most sophisticated, custom-tailored Generative Media by fusing Google’s premier video and image foundations including Veo and other image models with proprietary enterprise data.

The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .

**Responsibilities**

+ Write and test product or system development code to develop, productize, and scale advanced Generative Artificial Intelligence (Generative AI) Media (image and video) technology for Cloud enterprise customers.

+ Collaborate with peers and stakeholders through design and code reviews to ensure best practices, while designing architectures and customization strategies specifically tailored to complex enterprise requirements.

+ Triage generative quality issues and debug, track, and resolve them by analyzing sources, conducting rigorous training, and evaluating customized GenAI Media models to ensure high-resolution fidelity, temporal consistency, and data privacy.

+ Design and implement solutions in specialized ML areas, investigate and implement state-of-the-art technologies, and integrate optimized ML algorithms into highly reliable production systems.

+ Contribute to existing documentation or educational content and adapt content based on product/program updates, user feedback, and iterative, innovative technical solutions.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.