Staff AI/ML Software Engineer - Ads & ML Infra

Google; Pittsburgh (Allegheny County); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Staff Software Engineer to own end-to-end ML modeling, infrastructure, and AdsML systems across large-scale search ads. You will drive ML design, deployment, and evaluation, collaborating with cross-functional teams to deliver impactful advertising innovations at scale.

The role requires advanced ML expertise, leadership, and a track record in deploying production ML systems, with opportunities to influence across Google Ads and related platforms, including Pittsburgh or

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Python or C++.
• 5 years of experience testing, and launching software products.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with one or more of: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 3 years of experience with software design and architecture.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• Provide technical leadership on projects.
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
• Manage project priorities, deadlines, and deliverables.

Skills

Python

C++

ML design

ML infrastructure

Software design

Technical leadership

Education

Bachelor's degree

Job description

Google is seeking a Staff Software Engineer to own end-to-end ML modeling, infrastructure, and AdsML systems across large-scale search ads. You will drive ML design, deployment, and evaluation, collaborating with cross-functional teams to deliver impactful advertising innovations at scale.

The role requires advanced ML expertise, leadership, and a track record in deploying production ML systems, with opportunities to influence across Google Ads and related platforms, including Pittsburgh or