Software Engineer III, Machine Learning, Google Cloud Performance at Google

Are you passionate about building the next-generation technologies that impact billions of users worldwide? Join Google as a Software Engineer III specializing in Machine Learning for Google Cloud Performance.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in software development in one or more programming languages, or 1 year with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing.

Preferred Qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, and/or debugging.
• Experience in developing accessible technologies.
• Proficiency in code and system health, diagnosis and resolution, and software test engineering.

About the Job

As a part of Google's software engineering team, you will be contributing to the development of high-impact products that redefine the boundaries of web search and technology. You’ll work on projects critical to Google’s success with opportunities to switch teams and projects as our fast-paced business evolves. Versatility, leadership qualities, and enthusiasm for tackling new challenges across the full-stack are key attributes for this role.

Google's software engineers manage project priorities, deadlines, and deliverables using their technical expertise. You will design, develop, test, deploy, maintain, and enhance software solutions.

Responsibilities

• Write product or system development code.
• Participate in or lead design reviews with peers and stakeholders to make technology decisions.
• Review code developed by other developers, providing feedback to ensure best practices.
• Contribute to existing documentation and educational content, adapting based on product updates and user feedback.
• Triage issues, debug, track, and resolve by analyzing the source and impact on hardware, network, or service operations and quality.

About Google Cloud

Google Cloud empowers organizations in over 200 countries to transform their business with cutting-edge technology and tools. Our enterprise-grade solutions help developers build sustainably and solve critical business problems.

Compensation

The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Note that the compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Company: Google

Location: [Specific Location]

Job Title: Software Engineer III, Machine Learning, Google Cloud Performance