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Software Developer III, AI/ML, Google Cloud AI

Software Developer III, AI/ML, Google Cloud AI

2 Weeks ago • 3-5 Years • Artificial Intelligence

About the job

Summary

The Software Developer III role within Google Cloud AI Research focuses on developing and optimizing AI/ML solutions. Responsibilities include writing product/system code, collaborating on design and code reviews, contributing to documentation, debugging systems, and implementing solutions in specialized ML areas. The team addresses AI challenges across various industries, pushing the state-of-the-art and collaborating with product teams to deliver real-world impact. This involves model optimization, data processing, and utilizing ML infrastructure. The ideal candidate will have experience in software development, data structures, algorithms, and at least one area of ML specialization.

5 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

reinforcement-learning

data-structures

model-deployment

networking

Must have:

Bachelor's degree or equivalent experience
2+ years software development experience
2+ years experience with data structures/algorithms
1+ year experience with ML infrastructure
Experience in at least one ML specialization (speech/audio, reinforcement learning etc.)

Good to have:

Master's or PhD in Computer Science
Experience developing accessible technologies

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms.
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.
1 year 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 fields.
Experience developing accessible technologies.

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 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

Write 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.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.