Software Engineer III, AI/ML, Search Modalities

Software Engineer III, AI/ML, Search Modalities

Join to apply for the Software Engineer III, AI/ML, Search Modalities role at Google

Software Engineer III, AI/ML, Search Modalities

Join to apply for the Software Engineer III, AI/ML, Search Modalities role at Google

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• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python, or 1 year of experience with an advanced degree.
• 1 year of experience with core GenAI concepts (e.g., Large Language Models, Multi-Modal, Large Vision Models, etc.).
• Experience with Generative AI Agent.
• Experience conducting and analyzing metrics and experiments (e.g., A/B testing).
• Experience with text, image, video, or audio generation.
  

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python, or 1 year of experience with an advanced degree.
• 1 year of experience with core GenAI concepts (e.g., Large Language Models, Multi-Modal, Large Vision Models, etc.).
• Experience with Generative AI Agent.
• Experience conducting and analyzing metrics and experiments (e.g., A/B testing).
• Experience with text, image, video, or audio generation.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with data structures or algorithms.
• Experience coding in C++.
• Experience working with Large Language Models (LLMs) in a production environment.
• Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts.
• Experience developing accessible technologies.
  

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.
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.
The US base salary range for this full-time position is $141,000-$202,000 + 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 about benefits at Google .
Responsibilities

• 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 GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
  
  

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Information Services and Technology, Information and Internet

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