AI/ML Recommendations Engineer — Ads & Rankings

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

Job summary

Google is hiring software engineers to develop next-generation technologies at massive scale. You will work on projects spanning information retrieval, distributed computing, large-scale system design, and AI infrastructure, with opportunities to switch teams as you grow within our fast-paced environment.

Google Ads drives a multi-billion dollar global business, applying cutting-edge ML and Generative AI models to power campaigns.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
• 1 year of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).

Responsibilities

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
• 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 the sources of issues and the impact on hardware, network, or service operations and quality.
• Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Python

C++

Machine Learning

Algorithms

Education

Bachelor’s degree or equivalent practical experience

Job description

Google is hiring software engineers to develop next-generation technologies at massive scale. You will work on projects spanning information retrieval, distributed computing, large-scale system design, and AI infrastructure, with opportunities to switch teams as you grow within our fast-paced environment.

Google Ads drives a multi-billion dollar global business, applying cutting-edge ML and Generative AI models to power campaigns.