Software Engineer III, Artificial Intelligence/Machine Learning

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.
• Experience in Machine Learning, AI Platform, Infrastructure Design, Data Analysis, Python, Java.

Preferred qualifications:

• Master's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Python, C/C++).
• Experience with evaluating natural language and Generative AI systems.
• Experience generating training or evaluation data using Generative AI systems.

2 years of experience with software development in one or more programming languages (e.g., Python, C/C++).2 years of experience with software development in one or more programming languages (e.g., Python, C/C++).

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.

The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.

Responsibilities

• Work on evaluation infrastructure projects that are critical to the success of AI projects for the Home Assistant. You will work with projects that directly impact the quality and velocity of Google Home products.
• Design and implement new evaluation platform functionality, including handling of dialog, context and i18n.
• Generate evaluation data for AI-based systems using crowd-compute and generative solutions.
• Develop knowledge of eval solutions to accelerate quality iteration of AI systems.