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Home›Jobs›Google›Software Engineer III, AL/ML
Google

About Google

Empowering the world through technology and information

🏢 Tech👥 100K+📅 Founded 1998📍 Mountain View, California, United States

Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

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Google

Software Engineer III, AL/ML

Google • Seattle, WA, USA

Posted 2d ago🏛️ On-SiteMid-LevelSoftware engineering📍 Seattle
Apply Now →

Skills & Technologies

Machine learningPythonData structuresAlgorithms

Overview

Google is seeking a Software Engineer III specializing in AI/ML to contribute to innovative projects in machine learning and model optimization. You'll work with technologies like Python and machine learning infrastructure. This role requires 2+ years of software development experience.

Job Description

Who you are

You have a Bachelor’s degree or equivalent practical experience, along with at least 2 years of experience in software development using one or more programming languages. If you hold an advanced degree, you may qualify with just 1 year of experience. You possess a solid understanding of machine learning concepts, having spent at least 1 year working with ML infrastructure, including model deployment and optimization. Your experience also includes working with data structures and algorithms, which you have applied in practical scenarios. You are familiar with developing accessible technologies and have the ability to perform feature engineering and analyze data for ML model development. You thrive in collaborative environments and are eager to contribute fresh ideas to advance technology.

Desirable

A Master's degree or PhD in Computer Science or related technical fields is preferred. You have 2 years of experience specifically with data structures or algorithms, and you are comfortable running experiments and using experimental results to improve model performance. Your background may include experience in speech/audio technologies or reinforcement learning, which would be a plus.

What you'll do

As a Software Engineer III at Google, you will work on critical projects that push the boundaries of machine learning technologies. You will contribute to creating test evaluation datasets and autoraters, helping to enhance the capabilities of Gemini in Chrome. Your role will involve running live experiments, deploying models in production, and utilizing experimental results to refine model performance. You will implement solutions in specialized ML areas, leveraging your expertise in ML infrastructure to optimize processes and enhance data processing capabilities. Collaboration with cross-functional teams will be key, as you will partner with other engineers to develop next-generation technologies that impact billions of users. You will also have opportunities to ideate, execute, and evaluate experiments, contributing to the overall success of Google's innovative projects.

What we offer

At Google, you will be part of a dynamic team that values creativity and innovation. You will have access to cutting-edge technologies and the chance to work on projects that have a significant impact on how users connect and interact with information. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Our culture promotes continuous learning and growth, providing you with opportunities to advance your career while making meaningful contributions to the field of machine learning.

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