Software Engineer III, Machine Learning, Search

Google is seeking a Software Engineer III to join their Machine Learning Search team, offering a compelling opportunity to shape how billions of users interact with information globally. This role combines software engineering expertise with machine learning specialization, focusing on developing next-generation search technologies.

The position requires a strong foundation in software development, with particular emphasis on machine learning algorithms and tools like TensorFlow. The ideal candidate will have 2 years of experience in software development and machine learning, though candidates with advanced degrees may qualify with less experience. The role involves working on critical projects within Google's search infrastructure, requiring expertise in data structures, algorithms, and large-scale system design.

As a Software Engineer III, you'll be responsible for designing, developing, and maintaining software solutions that power Google's search capabilities. The role offers opportunities to work with cutting-edge technologies in artificial intelligence, natural language processing, and distributed computing. You'll collaborate with teams across Google, participating in design reviews, code reviews, and contributing to technical documentation.

The compensation package is highly competitive, with a base salary range of $141,000-$202,000, plus bonus, equity, and comprehensive benefits. Google offers a supportive work environment that emphasizes professional growth, innovation, and impact at scale. The position is based in Mountain View, CA, where you'll work alongside some of the industry's top talent in Google's main campus.

This role is ideal for engineers who are passionate about machine learning and search technology, offering the chance to solve complex technical challenges while impacting billions of users worldwide. Google's commitment to diversity, equal opportunity, and inclusive culture makes this an attractive opportunity for candidates from all backgrounds looking to advance their careers in machine learning and search technology.