Senior Software Engineer, Machine Learning, AR

$161,000 - $239,000/Yr

Google - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

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About the position

Google's Senior Software Engineer in Machine Learning for Augmented Reality is responsible for developing next-generation technologies that enhance user experiences through immersive computing. This role involves working on critical projects, managing priorities, and collaborating with diverse teams to push technology forward. The engineer will leverage their expertise in software development, machine learning, and system design to create scalable solutions that meet the needs of billions of users.

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