Senior ML & Computer Vision Software Engineer

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

Job summary

Google's Geo team is hiring software engineers to help build the next generation of maps and location-based services. You will work on large-scale systems spanning information retrieval, distributed computing, AI, NLP, and data storage, with opportunities to switch teams as you grow.

We value versatility, leadership, and the ability to design and optimize scalable data pipelines. US compensation details are published for this role, including a substantial base and equity components.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++ or one or more programming languages.
• 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 computer vision and machine learning development.

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 (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.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

C++ programming

Software development

Machine learning

Computer vision

Python

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS/related field

Job description

Google's Geo team is hiring software engineers to help build the next generation of maps and location-based services. You will work on large-scale systems spanning information retrieval, distributed computing, AI, NLP, and data storage, with opportunities to switch teams as you grow.

We value versatility, leadership, and the ability to design and optimize scalable data pipelines. US compensation details are published for this role, including a substantial base and equity components.