Software Engineer III, Machine Learning, Google Research

$136,000 - $200,000/Yr

Google - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

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About the position

As a Software Engineer III in Machine Learning at Google Research, you will be responsible for developing next-generation technologies that enhance how users connect and interact with information. This role involves working on critical projects that utilize advanced computer science techniques, collaborating with various teams to adapt to the fast-paced demands of the business. You will leverage your technical expertise to manage project priorities, deadlines, and deliverables while designing, developing, testing, deploying, maintaining, and enhancing software solutions.

Responsibilities

• Write 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.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience 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 or natural language processing.

Nice-to-haves

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

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development
• Tuition reimbursement