Google, a pioneering force in the tech industry, is offering an exciting opportunity for University Graduates in 2024 to join as Audio Machine Learning Engineers in either Hyderabad or Bangalore. The role demands candidates to possess a Bachelor’s degree in Electrical Engineering or Computer Science, underlining the company’s commitment to academic excellence and practical expertise. As a fresh graduate at Google, individuals will embark on a journey of innovation and discovery, leveraging their educational background to contribute to cutting-edge projects in audio machine learning. With the option to work in two of India’s prominent tech hubs, Hyderabad and Bangalore, Google provides an environment ripe for professional growth and networking opportunities.
Company Name: Google
Job Role: Audio Machine Learning Engineer, University Graduate, 2024
Education Required: Bachelor’s degree in Electrical Engineering or Computer Science or equivalent practical experience.
Experience Required: Freshers
Job Location: Hyderabad, Bangalore
Role and 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.
Required Skills and Qualification:
- 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.
