MINIMUM QUALIFICATIONS:
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Bachelor’s degree or equivalent practical experience.
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2 years of experience with software development in one or more programming
languages, or 1 year of experience with an advanced degree.
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2 years of experience with data structures or algorithms.
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1 year 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.
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1 year of experience with ML infrastructure (e.g., model deployment, model
evaluation, optimization, data processing, debugging).
PREFERRED QUALIFICATIONS:
ABOUT THE JOB:
Google's software developers 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 software developers 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 developer, 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
software developers 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.
The web is what you make of it and our team is helping the world make more of
the web. From open-source pros to user-experience extraordinaires, we develop
products that help users connect, communicate and collaborate with others. Our
consumer products and cloud platforms are giving millions of users at homes,
businesses, universities and nonprofits around the world the tools that shape
their web experience -- and changing the way they think about computing.
RESPONSIBILITIES:
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Write product or system development code.
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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,)
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Contribute to existing documentation or educational content and adapt content
based on product/program updates and user feedback.
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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.
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Implement solutions in one or more specialized ML areas, utilize ML
infrastructure, and contribute to model optimization and data processing.