Senior Software Engineer, Machine Learning, Google Workspace

$161,000 - $239,000/Yr

Google - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

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About the position

As a Senior Software Engineer in Machine Learning at Google Workspace, you will be responsible for developing next-generation technologies that enhance user interaction and information retrieval. This role involves working on critical projects that require a blend of software development, machine learning expertise, and leadership skills. You will have the opportunity to manage project priorities, design and enhance software solutions, and contribute to a collaborative environment that fosters innovation and growth.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (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.

Requirements

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML/AI algorithms and tools, deep learning or natural language processing.

Nice-to-haves

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Paid holidays
• Paid time off
• Employee stock purchase plan
• Tuition reimbursement
• Professional development opportunities
• Flexible scheduling