Google Cloud is seeking a Software Engineer III specialized in Machine Learning to join their Security and Privacy team. This role represents a unique opportunity to work at one of the world's leading technology companies, developing cutting-edge solutions that impact billions of users globally.
The position combines machine learning expertise with security and privacy focuses, making it ideal for engineers passionate about building secure, scalable AI solutions. You'll be working on Google Cloud, which serves customers in over 200 countries, helping organizations digitally transform their businesses using Google's cutting-edge technology.
As a Software Engineer III, you'll be responsible for designing, developing, and maintaining sophisticated machine learning systems while ensuring they meet high security and privacy standards. The role offers exposure to large-scale systems, distributed computing, and state-of-the-art ML technologies like TensorFlow.
The compensation package is highly competitive, ranging from $136,000 to $200,000 base salary, plus additional benefits including bonus potential, equity grants, and comprehensive benefits. This reflects Google's commitment to attracting and retaining top talent.
You'll be working in Sunnyvale, CA, at the heart of Silicon Valley, collaborating with some of the brightest minds in technology. The role offers significant growth opportunities, with the chance to switch teams and projects as you develop your career at Google.
The ideal candidate will bring at least 2 years of experience in software development and machine learning, with a strong foundation in data structures and algorithms. While a Bachelor's degree is required, advanced degrees are preferred, especially in Computer Science or related fields.
This role is perfect for someone who wants to make a significant impact on global technology infrastructure while working on challenging problems in machine learning and security. You'll be part of Google's mission to organize the world's information and make it universally accessible and useful, while ensuring it remains secure and private.