Software Engineer, Generative Media AI, Apparel ML

Google; Mountain View (WY); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google LLC is seeking software engineers to join a team that builds GenAI shopping features across Search, Commerce, Ads, Chrome and YouTube. You will scale multimodal GenAI to production-level quality using Google's infrastructure.

Join a collaborative environment with teams like Google Research and DeepMind; you'll work across full-stack projects to push technology forward and deliver high-impact advertising technology.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Responsibilities

• Productionize GenAI shopping features across Google's surfaces (Search, Commerce, Ads, Chrome, YouTube).
• Scale multimodal GenAI to production-level quality using Google's infrastructure.
• Collaborate with Google Research and DeepMind to solve complex challenges and improve advertising technology.

Skills

Software development

ML infrastructure

Algorithms

Data processing

Team collaboration

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related technical fields

Job description

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.

As a part of this team, you will focus on productionizing GenAI shopping features across Google's most prominent surfaces, including Search, Commerce, Ads, Chrome, and YouTube. Here, you will master the art of scaling multimodal GenAI to production-level quality, leveraging Google's infrastructure to deliver highly customized, industry-defining user experiences.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).

Minimum qualifications:

• - Bachelor's degree or equivalent practical experience.
• - 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• - 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• - Master's degree or PhD in Computer Science or related technical fields.
• - 2 years of experience with data structures and algorithms.
• - Experience with image processing, computer vision, or machine learning applications.
• - Write product or system development code.
• - 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).
• - Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• - Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• - Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.