The Research Software Engineer role at Google focuses on developing next-generation technologies that enhance user interaction with information and each other. This position is part of the AI and Research Accelerator team, which translates breakthroughs from DeepMind into impactful AI/ML experiences for Google's Platforms and Devices initiatives. The engineer will work on critical projects, collaborating with ML specialists to architect solutions that reach billions of users. This role requires versatility and leadership as the engineer drives innovation across various computing environments.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with speech/audio technology, reinforcement learning, ML infrastructure, or another ML field.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• Experience with Large Language Models.
• Experience with Natural Language Processing.

• Oversee the end-to-end technical architecture and drive technical consensus across teams.
• Design high-level systems and build scalable, reusable ML infrastructure for multiple product teams.
• Establish the standard for engineering excellence by steering architectural reviews and mentoring engineers.
• Cultivate deep partnerships with product teams and researchers at DeepMind.
• Lead the end-to-end development of AI features under tight deadlines.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.