Google is Hiring For Audio Machine Learning Engineer Salary 7 LPA
Google is Hiring 2022-2024 Batch Pass outs Students
About Company
Google is an American search engine company, founded in 1998 by Sergey Brin and Larry Page. Since 2015, Google has been a subsidiary of the holding company Alphabet, Inc. More than 70% of worldwide online search requests are handled by Google, placing it at the heart of most Internet users’ experience. It is one of the world’s most prominent brands. Its headquarters are in Mountain View, California.
Google began as an online search firm, but it now offers more than 50 Internet services and products, from e-mail and online document creation to software for mobile phones and tablet computers. In addition, its 2012 acquisition of Motorola Mobility put the company in the position to sell hardware in the form of mobile phones. Google’s broad product portfolio and size make it one of the top four influential companies in the high-tech marketplace, along with Apple, IBM, and Microsoft. Despite its myriad of products, the original search tool remains the core of Google’s success. In 2016 Alphabet earned nearly all of its revenue from Google advertising based on users’ search requests.
Google Audio Machine Learning
Engineer Recruitment Details
| Company | |
|---|---|
| Post | Audio Machine Learning Engineer |
| Degree | Bachelor’s Degree |
| Branch | EE/ECE/CSE/IT |
| Batch | 2022/2023/2024 Batch |
| CTC | Rs 7 LPA (Expected) |
| Location | Hyderabad/Bangalore |
Job Description
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.
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.
Who Can Apply
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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Placement Materials
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Selection Process
Round 1
In first round there will Aptitude Round where question related to check capabilities of the candidate through variety of questions like
- Verbal reasoning questions. …
- Verbal comprehension questions. …
- English language questions. …
- Questions testing abstract reasoning.
Round 2
The second round is generally a Technical Round in which all the technical related question were asked to candidate according to job role. In this generally the interviewer checks candidate technical ability the depth and breadth of candidaate knowledge
Round 3
Round 3 is a HR round in some cases TR and HR round are occur concurrently. This round is conducted by Human Resource Professional who ensures that you are the right candidate for the role
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