Senior Software Engineer, AI/ML, Google Kubernetes Engine

Exl

Kirkland, WA

Full Time

Senior

166k-244k

about 1 month ago

Job Description

About the Role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. As an AI/ML Software Engineer working closely with the Google Kubernetes Engine (GKE) team, you will help evolve GKE to incorporate more AI/ML strategies in its solution and design philosophy. Google Cloud accelerates digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology, supporting customers in over 200 countries and territories.

Key Responsibilities

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Drive closure of technical blockers, removing resistance for customers to use GKE.
Serve as a triage point for selected AI/ML customer's issues using GKE.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in distributed cloud computing, including 3 years of experience in containerization and container orchestration technologies such as Google Kubernetes Engine.
5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
3 years of experience building and shipping technical products. Experience with the domain area of Generative AI and Large Language Models (LLM).
Experience with machine learning algorithms, AI algorithms, coding, system design, and software development.

Nice to Have

Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
1 year of experience in a technical leadership role.
Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).

Qualifications

Bachelor's degree or equivalent practical experience.

Benefits & Perks

US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits.
Salary ranges are determined by role, level, and location, with individual pay influenced by work location, skills, experience, and education.
Additional benefits are available, details of which can be shared during the hiring process.

Working at Exl

Google's culture emphasizes versatility, leadership qualities, enthusiasm for new problems, and a fast-paced environment that pushes technological boundaries. Engineers are encouraged to bring fresh ideas from all areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, natural language processing, UI design, and mobile development.

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