Senior Software Engineer, AI/ML, NotebookLM Content Studio

Company: Google

Location: New York, NY

Salary: $174,000 - $253,000 a year

Type: Full-time

Posted: 2026-07-23

About this role

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Cambridge, MA, USA; Mountain View, CA, USA.

### Minimum qualifications:

  • Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience.
  • 5 years of experience with software development in programming languages like Python, C++, or Java.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with ML infrastructure (including model deployment, evaluation, optimization, and debugging).
  • 3 years of experience with speech/audio (e.g., voice synthesis), Generative AI/multimodal media synthesis, reinforcement learning, or another ML field.

### Preferred qualifications:

  • Master's degree or PhD in Computer Science, Machine Learning, or related technical field.
  • 5 years of experience with advanced data structures, algorithms, and machine learning optimization.
  • 1 year of experience in a technical leadership role, guiding rapid prototyping or directing product-driven engineering efforts.
  • Experience developing highly accessible consumer-facing technologies.
  • Experience with advanced prompt engineering, creative ML applications, and building consumer products that utilize Large Language Models (LLMs) or multimodal media formats (such as video, audio, or image synthesis).

## 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 ...

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