GenAI & Search Systems Engineer III

Socket.dev; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google Search engineers are shaping future technologies at massive scale, tackling diverse challenges from information retrieval to distributed systems. You will work on projects critical to Google’s needs with opportunities to switch teams as you grow in a fast-paced environment.

In this role, you’ll write development code, participate in design reviews, and contribute to documentation and education content.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience in one or more programming languages.
• 2 years of data analytics tools or data analysis experience.
• 1 year of experience in AI/ML research and Generative AI agent development.
• 1 year of experience with system design.

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• 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 sources of issues and impact on operations.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Skills

Software development

Data analytics

GenAI techniques

AI/ML research

System design

Education

Bachelor's degree

Master's degree

PhD

Tools

Rasta

coLaboratory

Business intelligence platform

C++

Job description

Google Search engineers are shaping future technologies at massive scale, tackling diverse challenges from information retrieval to distributed systems. You will work on projects critical to Google’s needs with opportunities to switch teams as you grow in a fast-paced environment.

In this role, you’ll write development code, participate in design reviews, and contribute to documentation and education content.