Google Off Campus Hiring For Audio Machine Learning Engineer | Jobs Addaa | Limited Seats

Google Off Campus Hiring For Audio Machine Learning Engineer

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Google Off Campus Hiring For Audio Machine Learning Engineer drive is scheduled for freshers across India. So if you are interested for the same kindly apply as soon as possible.

Google Off Campus Drive: Google off campus hiring fresher for Audio Machine Learning Engineer Role for Bachelor’s degree and 2024 graduates are eligible. The detailed company eligibility and application details are given below.  

About Google :

A problem isn’t truly solved until it’s solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Job Description :

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.

Job Title: Audio Machine Learning Engineer
Job Type: Full Time
Location: Hyderabad / Bangalore

Role and Resposibilty :

  • 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.

Education and Skills :

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

How To Apply Google Off Campus Drive ??  

All interested and eligible candidates can apply before expire in the following link.  

Apply Link : Click Here

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