Audio Machine Learning Engineer Full-time

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, related field, or equivalent practical experience.
• Experience in C/C or Python programming and Machine Learning.

Preferred qualifications:

• Master’s degree in Signal Processing, Data Science, or Machine Learning.
• 3 years of experience with AI/ML algorithms and tools (e.g. TensorFlow), deep learning, or natural language processing.
• Experience in audio, speech, machine learning, DSP, and embedded systems.
• Excellent problem-solving, analytical, communication, 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 on speech and audio applications, leveraging techniques and approaches, using Generative AI and Large Language Models (LLM).
• Engage in memory and performance optimization to ensure the deployment of ML models on Google hardware.
• Collaborate 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 for Google hardware.
• Develop ML models for Google hardware devices.