Software Engineer, Generative AI, Eval Platform, Core ML

Google is seeking a Software Engineer specializing in Generative AI for their Eval Platform within Core ML. This role combines cutting-edge AI technology with large-scale system development, focusing on building and maintaining evaluation platforms for generative AI models. The position offers a competitive base salary range of $136,000-$200,000, plus additional compensation including bonus, equity, and comprehensive benefits.

The ideal candidate will have strong foundations in software development, data structures, and algorithms, with specific expertise in Generative AI concepts such as Large Language Models and Multi-Modal systems. You'll be working on critical projects that directly impact Google's AI infrastructure, with opportunities to switch teams and projects as you grow.

In this role, you'll be responsible for developing evaluation platforms and tooling code, leading technical discussions, reviewing code, and ensuring system reliability. You'll collaborate with peers and stakeholders to make key technical decisions and contribute to documentation and educational content. The position requires strong problem-solving skills, as you'll be involved in triaging and resolving complex system issues.

Google offers a dynamic work environment where engineers are encouraged to be versatile and take on new challenges across the full technology stack. You'll be part of a team that's pushing the boundaries of AI technology, working on systems that handle information at massive scale. The company's commitment to innovation, coupled with its global impact and comprehensive benefits package, makes this an excellent opportunity for engineers looking to work at the forefront of AI technology.

The role is based in either Mountain View or Sunnyvale, California, offering the chance to work at Google's main campus alongside leading experts in the field. This position combines technical depth with broad impact, making it ideal for engineers who want to shape the future of AI technology while working for one of the world's most influential tech companies.