GenAI ML Software Engineer: Build & Deploy AI Systems

Google; Anchorage (AK); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Bonus 15%

Equity

Benefits

Job summary

Google is hiring software engineers to build next-generation AI-powered systems at scale. You will work on GenAI-enabled features, large language models, and multi-modal technologies within the Geo team, helping billions of users access maps and information.

Responsibilities include writing code, collaborating on design reviews, documenting solutions, debugging complex issues, and deploying GenAI solutions with ML infrastructure to optimize performance and user experiences.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of software development experience in one or more languages, or 1 year with an advanced degree.
• 1 year of experience with ML infrastructure (deployment, evaluation, data processing, debugging).
• Experience with GenAI techniques (LLMs, multi-modal, large vision models) or related concepts.

Responsibilities

• Write 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.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

GenAI techniques

ML infrastructure experience

Programming experience

Accessible tech development

Education

Bachelor's degree or equivalent

Master's degree or PhD in CS or related fields

Job description

Google is hiring software engineers to build next-generation AI-powered systems at scale. You will work on GenAI-enabled features, large language models, and multi-modal technologies within the Geo team, helping billions of users access maps and information.

Responsibilities include writing code, collaborating on design reviews, documenting solutions, debugging complex issues, and deploying GenAI solutions with ML infrastructure to optimize performance and user experiences.