Software Engineer, Audio Machine Learning

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
• Experience in C/C++ or Python programming, and with machine learning.
  

Preferred qualifications:

• Master's degree in signal processing, data science, and machine learning.
  
• 1 year of experience with AI/ML algorithms and tools (e.g., TensorFlow), deep learning, or natural language processing.
  
• Experience in audio, speech, and machine learning.
  
• Experience in DSP and knowledge of embedded systems.
  
• Excellent investigative, problem-solving, leadership, organization, communication, people, and teamwork skills.
  

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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

• Work on ML projects with a primary focus on speech and audio applications, leveraging the latest techniques and approaches, particularly using GenAI and LLM.
• Engage in memory and performance optimization to ensure the seamless deployment of Machine Learning (ML) models on Google hardware.
• Collaborate closely with product, research, and software teams to comprehend ML requirements and deliver solutions that meet key user experiences.
• Work alongside tools and architecture teams to streamline the deployment, validation, and testing processes specifically tailored for Google hardware.