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Hyderabad · On-site · 5-8 Yrs · 9 hours ago
Internet & Web Services · 10000+ Employees · Mountain View, US
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have over a hundred thousand employees and over one hundred offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe. So whether you want to be a part of developing innovative technology, campaigns, products or partnerships, your work here is a chance to accomplish things that matter. To learn more about our job opportunities, teams, offices, benefits and workplace culture, visit careers.google.com.
What employees say
+ it was a nice experience
− It is hard to switch teams
More reviews on the company profile.
Interview experience · Intern
Interview was DSA heavy and asked some System Design concepts too. They asked 2 DSA question in DSA round of medium and hard difficulty. After that they asked CS Fundamentals in further round too and CGPA criteria was 7
Difficult difficulty · India · 2,830 reports
More interview insightsJob description
Overview
Minimum qualifications: • Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, related field, or equivalent practical experience.
Responsibilities
- Work on ML projects with a primary focus on speech and audio applications, leveraging the latest techniques and approaches, particularly using GenAI 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 cutting-edge ML models fine-tuned for Google hardware devices.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, related field, or equivalent practical experience.
- 5 years of experience in the following: C, C++, C#, Java, JavaScript, Objective-C, Python, HTML, CSS, Object oriented analysis and design, advanced algorithms, multi-threading, machine learning, artificial intelligence, data mining, APIs, natural language processing, MapReduce, or any other programming languages.
- Knowledge of embedded systems.
- Excellent analytical (with attention to detail), problem-solving, leadership, influencing, organization, communication, people, and teamwork skills.
Nice to have
- Master's degree in Signal Processing, Data Science, and Machine Learning.
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