Senior AI/ML Engineer: Personalization & Search

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

Job summary

Google is seeking software engineers to help build next-generation technologies for billions of users worldwide. You will work on projects critical to Google's needs with opportunities to switch teams as you grow.

The role spans information retrieval, distributed systems, and AI across the full stack, demanding versatility and leadership. In Google Search, you will tackle complex engineering challenges and scale infrastructure to maintain a universally accessible experience.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, and embedding) in production, and experience building architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.

Responsibilities

• Write and test 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.
• Design and implement recommendation systems models across different domains, leverage ML infrastructure, and contribute to architecture design.

Skills

Software development experience

Testing/maintaining software products

Software design and architecture

Recommendation systems models

ML infrastructure

ML frameworks (TensorFlow, PyTorch, JX

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 help build next-generation technologies for billions of users worldwide. You will work on projects critical to Google's needs with opportunities to switch teams as you grow.

The role spans information retrieval, distributed systems, and AI across the full stack, demanding versatility and leadership. In Google Search, you will tackle complex engineering challenges and scale infrastructure to maintain a universally accessible experience.