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Job Details
Posted date: May 09, 2025
Location: Kirkland, WA
Level: Director
Estimated salary: $244,000
Range: $197,000 - $291,000
Description
Define and drive the technical strategy for voice agent quality, managing projects, and ensuring the team meets key milestones. Utilize data-driven approaches to quantify system performance, meticulously identifying gaps and opportunities for improvement in audio-in, audio-out, and latency. Design and conduct experiments such as prompt engineering and model tuning, to iteratively enhance performance and resolve quality issues. Collaborate closely with partner teams including Gemini Speech, Astra, and the Vertex Quality team to optimize the end-to-end system and underlying foundation models. Partner with the Conversational Agent Platform team to coordinate infrastructure changes and successfully launch new product features.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 Cloud Applied AI organization is on a mission to become the industry leader in enterprise-grade voice agents.
In this role, you will enable customers to effortlessly create high-quality, Large Language Model (LLM) based voice agents that are natural, and offer low-latency.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $197,000-$291,000 + 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.
Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience.8 years of experience in software development. 5 years of experience with Natural Language Processing (NLP) concepts and algorithms, and experience in designing NLP solutions.
5 years of experience leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience in speech recognition, NLP, text-to-speech (TTS), and related algorithms. Experience programming in python.
Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects. Experience developing solutions using Google Dialogflow, Natural Language AI, Speech to text, Text to speech and Translation AI.
Extended Qualifications
Bachelor’s degree or equivalent practical experience.8 years of experience in software development. 5 years of experience with Natural Language Processing (NLP) concepts and algorithms, and experience in designing NLP solutions.
5 years of experience leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience in speech recognition, NLP, text-to-speech (TTS), and related algorithms. Experience programming in python.
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