Senior Software Engineer - AI Personalization & Ranking

Google; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking software engineers to advance the world’s most intelligent content recommendation engine. You will work on deep learning models for retrieval, ranking, and personalization, impacting billions of users daily.

Expect to tackle AI-driven challenges, build scalable systems, and collaborate across teams in a fast-paced environment. Interviews are frequently in-person; you’ll contribute to architecture design, model evaluation, and system performance while exploring cutting-edge

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of software development experience in one or more languages.
• 3 years testing, maintaining, or launching software products, and 1 year of design/architecture experience.
• 3 years building/retrieving/ ranking/personalization models in production; building architecture.
• 3 years ML infrastructure including deployment, evaluation, optimization, data processing, debugging.

Responsibilities

• Develop and test new ranking algorithms and model features.
• Analyze experiment results to measure impact and guide improvements.
• Collaborate with engineers and researchers to implement new ideas.
• Contribute to quality and reliability of ranking systems; explore personalization techniques.
• Design and implement recommendation systems models across domains, leverage ML infrastructure, and contribute to architecture.

Skills

Software development

Programming languages

ML infrastructure

Data analysis

Recommendation systems

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related field

Job description

Google is seeking software engineers to advance the world’s most intelligent content recommendation engine. You will work on deep learning models for retrieval, ranking, and personalization, impacting billions of users daily.

Expect to tackle AI-driven challenges, build scalable systems, and collaborate across teams in a fast-paced environment. Interviews are frequently in-person; you’ll contribute to architecture design, model evaluation, and system performance while exploring cutting-edge