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.

Audio is a core modality of Gemini which powers generative AI in Gemini Live, Search, YouTube, Cloud, Maps, Meet, Translate, and more.

Artificial intelligence will be one humanity’s most transformative inventions. At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

• Lead the strategic design and end-to-end execution of long-term projects to advance Gemini Audio capabilities horizontally and scale foundational data infrastructure in a high-impact manner.

• Architect and conduct complex experiments by optimizing high-throughput data pipelines and loaders, managing Gemini model training and evaluation cycles, and delivering data-driven insights to inform technical strategy.

• Drive the integration of high-impact data enhancements into Gemini’s pre-training and post-training mixtures, ensuring the continuous delivery of high-quality data to improve model performance and capabilities.

• Deliver mission-critical initiatives with agility, effectively navigating evolving requirements and time-sensitive deadlines while maintaining high standards of technical excellence and project momentum.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.

• 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 (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• 1 year of experience with state-of-the-art GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (language modeling, computer vision).

• Work or educational experience in machine learning or artificial intelligence.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.

• 5 years of experience with data structures and algorithms.

• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

• Experience developing accessible technologies.