Requirements:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience with design and architecture; and testing/launching software products.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

Nice to haves:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a changing organization involving cross-functional, or cross-business projects.

Design, develop, test, deploy, maintain, and enhance software solutions.
Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
Drive technical project strategy, lead ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Google's software engineers develop the next-generation technologies with opportunities to switch teams and projects as you and the fast-paced business grow and evolve.
The Google Cloud AI Research team addresses AI challenges in various industries and collaborates with product teams for real-world impact.
Equal opportunity and affirmative action employer, building a workforce representative of the users served.
English proficiency requirement for all roles unless stated otherwise in the job posting.