MINIMUM QUALIFICATIONS:
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Bachelor’s degree or equivalent practical experience.
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2 years of experience working with Angular or other JavaScript (JS)
libraries.
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Experience working with Large Language Models (LLMs).
PREFERRED QUALIFICATIONS:
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Master's degree or PhD in Computer Science or related technical fields.
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Experience developing accessible technologies.
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Knowledge of Typscript, CSS and HTML.
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Excellent documentation, presentation and design skills.
ABOUT THE JOB:
Google Cloud's software developers develop the next-generation technologies that
change how billions of users connect, explore, and interact with information and
one another. 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 Cloud's needs with opportunities to switch teams and projects
as you and our fast-paced business grow and evolve. You will anticipate our
customer needs and be empowered to act like an owner, take action and innovate.
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 Google Cloud AI Research team addresses AI challenges motivated by Google
Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many
other industries. We work on a range of unique problems focused on research
topics that maximize scientific and real-world impact, aiming to push the
state-of-the-art in AI and share findings with the broader research community.
We also collaborate with product teams to bring innovations to real-world impact
that benefits our customers.
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 Machine Learning (ML) areas,
utilize ML infrastructure, and contribute to model improvements and data
processing.
