Google is seeking a Senior Software Engineer specializing in AI/ML Natural Language Processing for their Cloud Platforms division. This role represents a unique opportunity to work at one of the world's leading technology companies, developing next-generation technologies that impact billions of users globally.
The position involves working on critical projects within Google Cloud, which accelerates organizations' digital transformation capabilities across more than 200 countries. As a senior engineer, you'll be at the forefront of developing and implementing NLP solutions, leveraging sophisticated ML infrastructure, and contributing to model optimization and data processing.
The role requires a strong background in software development, with particular expertise in Natural Language Processing and ML infrastructure. You'll be responsible for writing and testing code, collaborating with peers through design reviews, contributing to documentation, and solving complex technical challenges. The position offers significant growth potential, with opportunities to switch teams and projects as both you and the business evolve.
Google offers a competitive compensation package, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. The company is committed to fostering an inclusive environment and building a workforce representative of its diverse user base.
The ideal candidate will bring 5+ years of software development experience, strong expertise in NLP concepts and algorithms, and proven experience with ML infrastructure. You'll be joining a dynamic team that pushes the boundaries of technology while maintaining Google's high standards for code quality and system design.
This role offers the opportunity to work on cutting-edge technology while contributing to products that have a global impact. You'll be part of a team that values innovation, technical excellence, and collaborative problem-solving, making it an ideal position for someone looking to advance their career in AI/ML while working on meaningful projects at scale.