Senior AI/ML Engineer - Scale ML Systems

Google; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google seeks software engineers to work on next-generation technologies spanning information retrieval, distributed systems, AI, and cloud services. You’ll contribute to projects critical to Google's needs, collaborating across teams to ship robust, scalable software for billions of users.

In-person interviews are common in the hiring process. The US-based role offers a compensation range and bonus structure that reflects market norms, with equity and benefits.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 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 one or more ML areas: speech/audio, reinforcement learning, ML infrastructure, or related field.
• 3 years of experience with ML infrastructure: deployment, evaluation, data processing, debugging.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
• 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.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

Programming in Python or C++

Software testing/maintenance/launch

Software design/architecture

ML in speech/audio or RL

ML infrastructure

Education

Bachelor's degree or equivalent

Job description

Google seeks software engineers to work on next-generation technologies spanning information retrieval, distributed systems, AI, and cloud services. You’ll contribute to projects critical to Google's needs, collaborating across teams to ship robust, scalable software for billions of users.

In-person interviews are common in the hiring process. The US-based role offers a compensation range and bonus structure that reflects market norms, with equity and benefits.