Staff Software Engineer, Machine Learning, Google Assistant

Google is seeking a Staff Software Engineer specializing in Machine Learning for the Google Assistant team. This role combines advanced software engineering with machine learning expertise to develop next-generation technologies that impact billions of users. The position requires a strong background in software development, data structures/algorithms, and machine learning, with particular emphasis on AI and natural language processing.

As a Staff Software Engineer, you'll lead technical initiatives and collaborate with cross-functional teams to design, develop, and deploy sophisticated software solutions. The role involves managing project priorities, mentoring team members, and making key architectural decisions that shape the future of Google Assistant. You'll work with cutting-edge technologies in artificial intelligence and machine learning, while having the opportunity to influence product direction and technical strategy.

The ideal candidate brings 8+ years of software development experience, with deep expertise in machine learning algorithms and tools like TensorFlow. You'll be part of Google's engineering-driven culture, where innovation and technical excellence are paramount. The position offers competitive compensation ($189,000-$284,000 base salary) plus comprehensive benefits, equity, and bonus potential.

Working from either Mountain View, CA or New York City, you'll join a collaborative environment that values diverse perspectives and fosters technical growth. This role presents an exceptional opportunity to work on challenging problems at scale, shape the future of AI-driven interactions, and make a significant impact on products used by billions of people globally.

If you're passionate about machine learning, have a proven track record of technical leadership, and want to work on cutting-edge technology that transforms how users interact with Google products, this role offers the perfect platform to advance your career while contributing to meaningful technological advancement.