Google Research is at the forefront of technological innovation, developing solutions that impact billions of users daily. As a Senior Software Engineer in Machine Learning, you'll join a team that combines fundamental research with product development. The role demands expertise in software development, ML/AI algorithms, and system architecture. You'll work on critical projects with opportunities for growth and team rotation as the company evolves.
The position involves managing project priorities, deadlines, and deliverables while designing, developing, testing, and maintaining software solutions. Google Research teams share their discoveries through academic publications and open-source projects, directly influencing Google's product development.
You'll collaborate with peers in design reviews, code reviews, and documentation, ensuring best practices and high-quality deliverables. The role requires strong technical leadership, problem-solving abilities across the full stack, and experience with ML/AI algorithms, deep learning, and natural language processing.
Google offers a collaborative environment where you'll work alongside leading researchers and engineers, contributing to technologies that define the future of computing. The company's commitment to sharing research and tools makes it an ideal place for those who want to make a broad impact in the field of machine learning and artificial intelligence.
This position at Google Research offers the unique opportunity to work on challenging problems at scale, with access to vast computational resources and datasets. You'll be part of a team that values innovation, technical excellence, and the practical application of research to solve real-world problems.