Senior AI/ML Engineer - Scale & Deploy Systems

Google; Mountain View (CA); On-site; USD 174,000 - 253,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Job summary

Google in Mountain View, CA is seeking a software engineer to work on next‑generation technologies powering billions of users. You will explore information retrieval, distributed computing, large‑scale system design, and AI across multiple Google Ads teams, with opportunities to switch projects as you grow.

Responsibilities include writing and testing code, collaborating through reviews, and contributing to ML infrastructure and model deployment. Equal opportunity employer.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years testing, maintaining, or launching software and 1 year in design/architecture.
• 3 years experience with ML areas: Speech/Audio, Reinforcement Learning, ML infrastructure, or related field.
• 3 years experience with ML infrastructure: deployment, evaluation, optimization, data processing, debugging.

Responsibilities

• Write and test product or system development code.
• Review designs with peers to ensure best practices.
• Contribute to docs and educational content as products evolve.
• Diagnose issues and debug across hardware, network, and services.
• Develop ML solutions leveraging ML infrastructure and expertise.

Skills

Python

C++

Software testing

Software design

ML infrastructure

Education

Bachelor’s degree or equivalent practical experience

Job description

Google in Mountain View, CA is seeking a software engineer to work on next‑generation technologies powering billions of users. You will explore information retrieval, distributed computing, large‑scale system design, and AI across multiple Google Ads teams, with opportunities to switch projects as you grow.

Responsibilities include writing and testing code, collaborating through reviews, and contributing to ML infrastructure and model deployment. Equal opportunity employer.