Senior Software Engineer, Machine Learning, Applied AI

Google•Kirkland, WA

2h•$174,000 - $252,000

About The Position

Google software engineers develop technologies used by billions of people and build products that operate at massive scale. In this role, you will work on a project important to Google, with opportunities to move between teams and projects as business needs evolve. Engineers are expected to be versatile, demonstrate leadership, and take on problems across the full stack. You will manage project priorities, deadlines, and deliverables, and design, develop, test, deploy, maintain, and enhance software solutions. The position is within Google Cloud, which provides enterprise-grade solutions and tools to help organizations digitally transform their businesses.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages and with data structures and algorithms.
3 years of experience testing, maintaining, or launching software products.
1 year of experience with software design and architecture.
Experience in Generative AI, including Large Language Models, Multi-Modal, or Large Vision Models.
Experience with machine learning algorithms and tools (such as TensorFlow), artificial intelligence, deep learning, natural language processing, or other ML disciplines.

Nice To Haves

Master’s degree or PhD in Computer Science or a related technical field.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

Responsibilities

Write and test product or system development code.
Participate in or lead design reviews with peers and stakeholders to choose among available technologies.
Review code developed by other developers and provide feedback to ensure best practices, including style, check-in practices, accuracy, testability, and efficiency.
Contribute to existing documentation or educational content and adapt it based on product or program updates and user feedback.
Triage product or system issues and debug, track, and resolve them by analyzing their sources and their impact on hardware, network, service operations, and quality.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance software solutions.