PhD AI/ML Systems Engineer — End-to-End ML at Scale

Google; New York (NY); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) match

PTO 20 days

Sick leave 40h/year

Maternity leave

Baby bonding leave

Holidays 13 days

Job summary

Google's PhD Software Engineer roles advance ML and AI across large-scale systems, spanning AI & Infrastructure, Cloud, YouTube, Search and Ads.

You will collaborate across teams to design, implement, and optimize end-to-end ML solutions, from data pipelines to production APIs.

This US-based position offers competitive pay, equity, and comprehensive benefits, with the potential to start full-time in 2027 and grow within Google.

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Experience coding in Python, C, C++, Java, JavaScript or Golang.
• Experience in ML/AI.

Responsibilities

• Collaborate or lead on ML systems across the stack using research expertise.
• Support end-to-end ML systems from hardware to production APIs.
• Optimize performance and fix issues to meet customer goals.
• Promote quality through reviews and best practices.

Skills

PhD in CS/AI

Python / C / C++ / Java / JS / Go

ML/AI experience

Job description

Google's PhD Software Engineer roles advance ML and AI across large-scale systems, spanning AI & Infrastructure, Cloud, YouTube, Search and Ads.

You will collaborate across teams to design, implement, and optimize end-to-end ML solutions, from data pipelines to production APIs.

This US-based position offers competitive pay, equity, and comprehensive benefits, with the potential to start full-time in 2027 and grow within Google.