Google Off-Campus Hiring Machine Learning Engineer (University Graduates). Are you looking for exciting off campus IT Jobs that suits your skills?? Then, Welcome to our website TechAtPhone we are pleased to bring to you a new job opening at Google. Google Off-Campus Hiring Machine Learning Engineer for New Grads and Freshers. Check the complete details below.
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| Position | Machine Learning Engineer (University Graduates) |
| CTC | 25 LPA |
| Experience | Freshers, New Grads |
| Location | Bangalore, Hyderabad |
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.
Eligibility Criteria for Google Off-Campus Hiring Machine Learning Engineer
To be eligible for the Machine Learning Engineer at Google you must have the below eligibility criteria.
- Bachelor’s degree in Electrical Engineering or Computer Science or equivalent practical experience.
- Experience in C/C++ or Python programming and Machine Learning.
Preferred Skills for Google Off-Campus Hiring Machine Learning Engineer
Preferred Skills for Machine Learning Engineer, University Graduates 2024 at Google are as follows:
- 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.
What is the Hiring Process for Machine Learning Engineer at Google?
The Hiring Process for Google Off-Campus Hiring Machine Learning Engineer are as follows:
- Resume Shortlisting.
- Online Assessment (OA) Round of Google.
- Technical Round.
- HR Round.
Role and Responsibilities for Google Off-Campus Hiring Machine Learning Engineer
- 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.
How to Apply for Machine Learning Engineer, University Graduates at Google?
To apply for Machine Learning Engineer, University Graduates Follow the Below steps:
- Click on the APPLY NOW button provided below, you will be redirected to the official Google Hiring page.
- Click on the apply button.
- If you’re not a registered user then create an account.
- After registration, click on Log In and fill all of your details.
- Submit your resume and other information.
- Click on Apply.
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Disclaimer
Please note that the information provided above is based on the available details that was given in the actual Google career page website. For updated and latest information we will suggest you to visit the official Google hiring site.
