AI/ML Infrastructure Engineer for Search Ads

Google; Pittsburgh (Allegheny County); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC is seeking a Software Engineer for AI/ML, ML infrastructure, and Search Ads. The role focuses on building scalable AI-powered systems to power Google's advertising platform and information retrieval across massive-scale data.

The position requires hands-on software development, ML deployment, and collaboration with teams across Research and DeepMind to advance state-of-the-art AI for ads and search. Both in-person interviews and preferred locations are offered.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of software development experience in one or more programming languages.
• 1 year of end-to-end ML experience (deployment, evaluation, data processing, debugging).
• 1 year of experience with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• Experience with ML systems or Large Language Models (LLMs).
• Experience designing system architectures for enterprise AI/ML workloads.

Responsibilities

• Modify infrastructure (training and serving) to support new modeling techniques and products.
• Prototype new infrastructure, automation, workflows, and tooling.
• Improve robustness, reliability, and usability of infrastructure.
• Analyze and debug performance and optimize systems.
• Collaborate with team members to build cross-ecosystem integrations.

Skills

Software development

ML systems

LLMs

System architecture

Speech/audio

Reinforcement learning

Education

Bachelor's degree or equivalent practical experience

Master's or PhD in CS or related field

Tools

TensorFlow

GeMax

TPUs

Job description

Google LLC is seeking a Software Engineer for AI/ML, ML infrastructure, and Search Ads. The role focuses on building scalable AI-powered systems to power Google's advertising platform and information retrieval across massive-scale data.

The position requires hands-on software development, ML deployment, and collaboration with teams across Research and DeepMind to advance state-of-the-art AI for ads and search. Both in-person interviews and preferred locations are offered.