Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 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 one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience in LLM, Python, Java, Go.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• Experience in productizing and productionalizing applied ML/NLP systems.
  
• Familiarity with LLM technologies, and experience in production grade LLM-based applications.
• Passion in optimizing a system end-to-end, not limited to the ML-based components.
• Passion in innovations and converting technologies to product value.

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.

Join the Food AI team as we transform the food ordering experience with AI agents. Our mission is to revolutionize the restaurant industry by streamlining the drive-thru experience, empowering businesses to operate more efficiently, and enhancing customer satisfaction. We leverage Gemini to develop intelligent food ordering bots that provide a natural, efficient, and friendly ordering experience for customers.

Our vision is to help restaurants exceed customer expectations and increase productivity through a scalable food ordering platform. This involves creating AI solutions that minimize drive-thru management time, enable staff reallocation to higher-value work, and scale operations effectively. We focus on delivering human-like interactions with computer precision, ensuring a consistent customer experience across multiple channels and languages, and ultimately driving business results for our clients through improved productivity and sales.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

The US base salary range for this full-time position is $174,000-$252,000 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

• 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).
  
• Develop and scale the Food AI platform to accommodate a growing customer base.
  
• Employ a data-driven approach to analyze opportunities for improvement in Food AI, propose innovative solutions, and collaborate with relevant teams to land them.
  
• Take full ownership of the Food AI feature development lifecycle, from initial idea experimentation, design, implementation, deployment, monitoring, and ongoing optimization.
  
• Partner with various Vertex and Gemini teams to improve the quality of the foundation LLM and speech-to-text model.

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Requisition #: 117781172653564614

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