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Google Off Campus Drive 2024 | Join as an Audio Machine Learning Engineer, University Graduate, 2024

Introduction:

Are you passionate about audio, speech, and machine learning? Google invites university graduates with a Bachelor's degree in Electrical Engineering or Computer Science to join the Off-Campus Drive 2024 as an Audio Machine Learning Engineer.

Minimum Qualifications:

Bachelor's degree in Electrical Engineering or Computer Science.
Experience in C/C++ or Python programming and Machine Learning.

Preferred Qualifications:

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

About the Job:

Google's software engineers develop next-generation technologies, influencing how billions connect, explore, and interact. As a software engineer, you'll contribute to projects vital for Google's growth, showcasing versatility and leadership qualities.

Team Objectives:

Join a small, versatile team focusing on innovative audio features for Google devices. Specializing in audio processing models, the team enhances audio signals, providing unparalleled accuracy and efficiency.

Responsibilities:

Work on ML projects, focusing on speech and audio applications.
Optimize ML models for seamless deployment on Google hardware.
Collaborate with product, research, and software teams for key user experiences.
Streamline deployment processes with tools and architecture teams.
Develop ML models fine-tuned for Google hardware devices.

Google's Mission:

Organize the world's information and make it universally accessible. The Devices & Services team combines AI, Software, and Hardware to create helpful user experiences through innovative technologies.

FAQs:

Q1: What qualifications are required for the Off-Campus Drive 2024?

A1: A Bachelor's degree in Electrical Engineering or Computer Science, with experience in C/C++ or Python programming and Machine Learning.

Q2: Are Master's or PhD degrees preferred?

A2: Preferred qualifications include a PhD or Master's degree in signal processing, data science, and machine learning.

Q3: What is the focus of the Audio Machine Learning Engineer role?

A3: The role involves working on ML projects with a primary focus on speech and audio applications.

Conclusion:

Embark on a fulfilling career journey with Google's Off Campus Drive 2024. Seize the opportunity to contribute to cutting-edge audio innovations and be part of Google's mission to make information universally accessible. Apply now and shape the future of technology!