Job Details

Technical Lead, Machine Learning Infrastructure

Advertiser
GOOGLE INC.
Location
Seattle, Washington, United States
Rate
-

Minimum qualifications

Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.

10 years of professional experience in engineering.

Preferred qualifications

Experience with machine learning models and frameworks in a research or product environment.

Experience motivating others to act by creating a shared sense of vision or purpose.

Experience in technical innovation.

Ability to create a compelling vision for the future, communicate clearly, with a collaborative leadership approach.

Ability to think in a strategic manner to develop innovative product solutions and operate effectively across regional boundaries.

About the job

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Company platforms, we make Companys product portfolio possible. Were proud to be our engineers engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

As a Technical Lead for Machine Learning Infrastructure, you will drive strategy for product definition, resource provisioning, and help design cluster scheduling, storage, and network coordination. You will also partner closely with developer teams across Company's products to define software infrastructure solutions for our machine learning hardware.

Company Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Company's cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Company Cloud as their trusted partner to solve their most critical business problems.

Responsibilities

Drive scalable and efficient designs for scheduling and resourcing machine learning training. Create technical strategy for providing coordinated compute, storage, and networking solutions to machine learning developers that can power a wide variety of Company products.

Work with resource management, planning, and service teams to develop an ideal deployment footprint and service model for providing machine learning resources to all Company products.

Partner with hardware and software teams to develop resource management and resource abstractions for new specialized hardware.

Work with the larger engineering team on defining best engineering practice, strategy, and leadership by reviewing projects for principles and content.

Supervise execution of deliverables, particularly for large and cross-functional products.

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