Software Engineer III, AI/ML Natural Language Processing, Gemini

3 Months ago • 2-4 Years • Artificial Intelligence • $136,000 PA - $200,000 PA

Job Summary

Job Description

Google is seeking a Software Engineer III to join their AI/ML Natural Language Processing team in Mountain View, CA or New York, NY. You will be working on Gemini, a conversational AI tool that helps users collaborate with generative AI, expand their curiosity, and enhance their productivity. Responsibilities include writing product or system development code, collaborating with peers and stakeholders on code reviews, contributing to documentation or educational content, triaging product or system issues, debugging and resolving them, implementing NLP solutions, utilizing ML infrastructure, and contributing to model optimization and data processing.
Must have:
  • Bachelor's degree or equivalent practical experience
  • 2 years of experience with software development
  • 2 years of experience with data structures or algorithms
  • 1 year of experience with Natural Language Processing (NLP) concepts or techniques
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
Good to have:
  • Master's degree or PhD in Computer Science or related technical fields
  • Experience developing accessible technologies

Job Details


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.
  • 2 years of experience with data structures or algorithms.
  • 1 year of experience with Natural Language Processing (NLP) concepts or techniques.
  • 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.
  • 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.

A conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity.


The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .

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 NLP solutions, utilize ML infrastructure, and contribute to model optimization and data processing.

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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