AI/ML Engineer — Shopping Relevance Models

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

Job summary

Google is seeking software engineers to join the Shopping Ads Relevance models team, delivering ML-based ranking and deployment on a massive scale. The role focuses on predicting ad relevance, improving matches between user queries and products, and optimizing campaigns with state-of-the-art ML techniques.

You will work across retrieval and ads ranking, contribute to model optimization, and collaborate with Google Research and DeepMind to tackle challenging AI problems.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with end to end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: reinforcement learning (e.g., sequential decision making), ML infrastructure, Ranking, or Recommendations.

Responsibilities

• Write product or system development code.
• 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.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
• Train machine learning models and explore model features, architectures, and hyperparameters in order to continuously improve model accuracy.

Skills

Bachelor's degree

Python or C++

End-to-end ML

Reinforcement learning

Education

Master's or PhD in CS

Data structures

Statistics / Big data

Accessible tech

Job description

Google is seeking software engineers to join the Shopping Ads Relevance models team, delivering ML-based ranking and deployment on a massive scale. The role focuses on predicting ad relevance, improving matches between user queries and products, and optimizing campaigns with state-of-the-art ML techniques.

You will work across retrieval and ads ranking, contribute to model optimization, and collaborate with Google Research and DeepMind to tackle challenging AI problems.