Google Hiring | Audio Machine Learning Engineer, University Graduate, 2024

Google has invited applications for the recruitment of Audio Machine Learning Engineer, University Graduate, 2024 post. It is an entry level position and freshers can apply.

Interested candidates meeting the eligibility criteria can apply online at the earliest.

Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Google Hiring Details:

Experience: Freshers

Post Name: Audio Machine Learning Engineer, University Graduate, 2024

Qualification: Bachelor’s degree in Electrical Engineering or Computer Science or equivalent

Batch: Recent Batches

Salary: Rs. 12 LPA (expected)

Last Date to apply: As soon as possible

Job Locations: Bangalore & Hyderabad

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Minimum qualifications:

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

Preferred qualifications:

PhD or Master degree in signal processing, data science and machine learning.
Experience in audio, speech, and machine learning.
Experience in DSP and knowledge of embedded systems.
Excellent problem-solving, analytical, communication and teamwork skills.

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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.
As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
Our team’s objective is to empower our pixels and other devices with innovative and next generation audio features, with an emphasis on achieving unparalleled accuracy and efficiency in the conversion of audio signals. We specialize in developing models for audio processing and regeneration, audio enhancement, and audio analytics for communication and other applications, optimizing, porting, customizing, and validating them on the device to elevate the performance of our pixel and devices to new height.
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.

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Responsibilities

Work on machine learning (ML) projects with a primary focus on speech and audio applications, leveraging the latest techniques and approaches, particularly using Generative AI and LLM.
Engage in memory and performance optimization to ensure the seamless deployment of 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.
Play a pivotal role in the development of ML models fine-tuned for Google hardware devices.