Senior ML Engineer, Ads Personalization & Recommendations

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

Job summary

Google’s Mountain View office is seeking a Software Engineer III focused on Discover Ads Recommendations. You will write scalable code and build end-to-end ML systems to improve ad quality and personalization at scale.

You’ll deploy models, evaluate them, and experiment with new architectures while collaborating across teams. Experience with TensorFlow, Adbrain, and TPU is valuable for this role.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.

Responsibilities

• Write product or system development code.
• Build end to end machine learning systems on large scale data.
• Research novel ideas on model architectures and analysis, and then build, experiment and deploy them to improve prediction qualities.
• Work with latest ML techniques, tools like TensorFlow, Adbrain, TPU, and Recommendation systems.

Skills

Software development

ML experience

Recommendation systems

Mentoring

Education

Bachelor's degree

Tools

TensorFlow

Adbrain

TPU

Job description

Google’s Mountain View office is seeking a Software Engineer III focused on Discover Ads Recommendations. You will write scalable code and build end-to-end ML systems to improve ad quality and personalization at scale.

You’ll deploy models, evaluate them, and experiment with new architectures while collaborating across teams. Experience with TensorFlow, Adbrain, and TPU is valuable for this role.