[T] Senior Software Engineer, AI/ML, Google Cloud

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience.

* 5 years of experience programming in Python or C++.
* 3 years of experience testing, maintaining, or launching software products,
and 1 year of experience with software design and architecture.

* 3 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.

* 3 years of experience with ML infrastructure (e.g., model deployment, model
evaluation, optimization, data processing, debugging).

PREFERRED QUALIFICATIONS:

* Master's degree or PhD in Computer Science or related technical field.

* 5 years of experience with data structures/algorithms.
* 1 year of experience in a technical leadership role.

* Experience developing accessible technologies.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change
how billions of users connect, explore, and interact with information and one
another. Our products need to handle information at massive scale, and extend
well beyond web search. We're looking for engineers who bring fresh ideas from
all areas, including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial intelligence,
natural language processing, UI design and mobile; the list goes on and is
growing every day. As a software engineer, you will work on a specific project
critical to Google’s needs with opportunities to switch teams and projects as
you and our fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take on new
problems across the full-stack as we continue to push technology forward.

Google Cloud accelerates every organization’s ability to digitally transform its
business and industry. We deliver enterprise-grade solutions that leverage
Google’s cutting-edge technology, and tools that help developers build more
sustainably. Customers in more than 200 countries and territories turn to Google
Cloud as their trusted partner to enable growth and solve their most critical
business problems.

RESPONSIBILITIES:

* Write and test product or system development code. 

* Collaborate with peers and stakeholders through design and code reviews to
ensure best practices amongst available technologies (e.g., style guidelines,
checking code in, accuracy, testability, and efficiency,)

* Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.

* Triage product or system issues and debug/track/resolve by analyzing the
sources of issues and the impact on hardware, network, or service operations
and quality.

* Design and implement solutions in one or more specialized ML areas, leverage
ML infrastructure, and demonstrate expertise in a chosen field.