Senior Software Engineer - ML/AI for Large-Scale Systems

Google; Providence (RI); Remote; USD 148,000 - 230,000; Full time

Job summary

Google’s software engineers develop core technologies that enable billions of users to connect, discover, and engage with information and one another. The senior engineer will work on large-scale systems including information retrieval, distributed computing, machine learning, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.

The engineer will design, build, test, deploy, maintain, and improve software solutions, collaborating across

Qualifications

• Bachelor's degree in computer science or related field.
• Minimum 3 years of software development experience.
• Minimum 3 years of experience creating or launching software products.
• Minimum 3 years of experience with ML/AI algorithms and tools.
• Preferred: Master's degree or PhD in CS or related field.
• Preferred: 1 year of technical leadership experience.
• Preferred: Production-grade technology experience.

Responsibilities

• Write and test product or system development code.
• Participate in or lead design discussions with peers and stakeholders to determine optimal technologies.
• Review code produced by other developers and provide feedback to ensure best practices.
• Contribute to existing documentation or training materials and update content based on product changes and user feedback.
• Triage product or system issues, debug, and resolve problems by analyzing root causes and addressing impacts on hardware, network, or service operations.

Skills

Software development experience

ML/AI algorithms

Technical leadership

Education

Bachelor's degree in CS

Master's/PhD preferred

Job description

Google’s software engineers develop core technologies that enable billions of users to connect, discover, and engage with information and one another. The senior engineer will work on large-scale systems including information retrieval, distributed computing, machine learning, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile.

The engineer will design, build, test, deploy, maintain, and improve software solutions, collaborating across