Staff Software Engineer, Machine Learning, Labs

$189,000 - $284,000/Yr

Google - San Francisco, CA

Full-time - Senior

San Francisco, CA

10,001+ employees

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About the position

The Staff Software Engineer, Machine Learning, Labs at Google is responsible for developing next-generation technologies that enhance user interaction with information. This role involves managing project priorities, deadlines, and deliverables while designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. The position is critical to Google's mission of organizing the world's information and making it universally accessible and useful, focusing on innovation and the application of new technologies.

Responsibilities

• Provide technical leadership on high-impact projects.
• Influence and coach a distributed team of engineers.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large scale software solutions.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.

Nice-to-haves

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Paid holidays
• Paid volunteer time
• Flexible scheduling
• Professional development
• Tuition reimbursement
• Gym membership
• Mental health days