Top News

Google AI Engineer Salary: AI is one of the most revolutionary discoveries of the modern era. This technique enables machines to think, understand, and make decisions like humans. World-class companies like Google are investing billions of dollars in AI. This is leading to the development of smart search engines, voice assistants, self-driving cars, and smart solutions in healthcare. The salary of an AI engineer in companies like Google and Microsoft is top-class.

Most of the students and professionals associated with the tech field dream of a job at Google. Here, one gets a great salary, global exposure, and an opportunity to work on cutting-edge projects. For this, not only strong programming and mathematical skills are required, but also a deep understanding in areas like machine learning and deep learning, and curiosity to learn continuously are also required. With the right direction, projects, and hard work, any engineering student can make a career in the field of Artificial Intelligence.

AI Engineer Salary: Salary of an AI Engineer
Be it in the country or abroad, the salary of an AI engineer at Google is the best. For a long time, AI engineers will remain number 1 in terms of salary.
AI Engineer Salary India: Salary of an AI Engineer in India
The average salary of an AI Engineer (Machine Learning Engineer/Applied Scientist/Data Scientist) in Google India ranges from Rs 25 lakh to Rs 60 lakh per annum.
In experienced and senior roles (5+ years of experience), the package can go up to Rs 70 lakh to Rs 1.2 crore.
The package of some researchers or PhD holders can be even higher.

Salary of an AI Engineer Abroad (USA/Europe)
In the US, the base salary of an AI/ML Engineer at Google is $1,20,000 – $2,00,000 USD per annum.
The total compensation (Base + Bonus + Stocks) can go up to $2,00,000 – $4,00,000 USD per annum. It depends on experience and position level (L3, L4, L5, L6).

In Europe, the salary is lower than in the US but still very competitive: €70,000 – €1,50,000 per year base salary.

AI Engineer Eligibility Criteria: Eligibility to become an AI Engineer at Google
Educational Qualification:
BTech/BE/MTech or
PhD/Masters in CS/IT/Electrical/ECE (Specialization in Machine Learning, Artificial Intelligence, Data Science is a bonus)
Top institutes or good research background increase preference (IITs, IIITs, IISc, MIT, Stanford, etc. abroad)
AI Engineer Skills: Skills required for an AI Engineer
Programming: Python, C++, Java - Python is most important (NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch).
Maths: Linear Algebra, Probability, Statistics, Optimization
ML Algorithms: Supervised/Unsupervised Learning, Deep Learning, NLP, Computer Vision
Tools and Frameworks: TensorFlow, PyTorch, Keras, JAX, OpenAI APIs
Cloud and Big Data: GCP (Google Cloud), AWS, Hadoop/Spark basics
Research/Projects: Work on good projects, Kaggle Competitions, Research papers, GitHub portfolio
Soft Skills: Problem Solving (DSA must be strong), Communication, System Design Basics
How to Become an AI Engineer: What to do to become an AI Engineer?
Work on data structures and algorithms (benefit from competitive programming)

Make 2–3 solid projects in ML/DL (NLP, CV, Recommender Systems, etc.)

Be active on GitHub

Open source contributions

Research papers (if possible, publish in conferences)

Internship – Try Google’s AI Residency Program or Google Summer of Code.

Disclaimer: This content has been sourced and edited from News 18 hindi. While we have made modifications for clarity and presentation, the original content belongs to its respective authors and website. We do not claim ownership of the content.