Senior ML Systems Engineer – AI & Data Protection

Google; Kirkland (WA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off (20 days/yr)

Holidays (13 paid days/yr)

Job summary

Google in Kirkland, WA seeks software engineers focusing on ML and AI safety. You will build scalable classification and redaction of sensitive information across Google Cloud and tools, contributing to high-throughput inspection services.

The role covers architecture, APIs, algorithms, and neural networks with opportunities to switch teams. Competitive pay includes equity and a strong benefits package in the US.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 year of experience with one or more: speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 1 year of experience with ML infrastructure: deployment, evaluation, data processing, or debugging.
• 1 year of experience in software development with Java or Kotlin.
• Experience in infrastructure, platforms, or backend software engineering.

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices across technologies.
• Contribute to documentation and educational content updated with product changes.
• Triage issues and debug/track/resolve impacts on hardware, network or services.
• Implement ML solutions, utilize ML infrastructure, and optimize data processing.

Skills

ML research

Java

Kotlin

Backend engineering

System design

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD (preferred)

Tools

Google Cloud Platform

Java

Kotlin

Job description

Google in Kirkland, WA seeks software engineers focusing on ML and AI safety. You will build scalable classification and redaction of sensitive information across Google Cloud and tools, contributing to high-throughput inspection services.

The role covers architecture, APIs, algorithms, and neural networks with opportunities to switch teams. Competitive pay includes equity and a strong benefits package in the US.