Senior AI/ML Software Engineer — Equity & Large‑Scale Infra

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

Job summary

Google is seeking software engineers to work on the AI and Infrastructure team, developing scalable systems and ML solutions across Google’s services and products. You will contribute to design, testing, and optimization while collaborating with diverse teams to deliver high-impact technology.

The role emphasizes handling large-scale systems, AI model deployment, and cutting-edge infrastructure, with opportunities to shape the future of cloud and AI platforms.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML areas: speech/audio, reinforcement learning, ML infrastructure, or related field.
• 3 years of experience with ML infrastructure (deployment, evaluation, data processing, debugging).

Responsibilities

• Write and test product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Contribute to documentation and adapt content based on updates and feedback.
• Triage issues and debug/resolve impact on hardware, network, or services.
• Design and implement ML solutions and leverage ML infrastructure.

Skills

Python

C++

Software testing

Software architecture

ML infrastructure

Reinforcement learning

Speech/audio processing

Technical leadership

Accessibility technologies

Data structures/algorithms

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 work on the AI and Infrastructure team, developing scalable systems and ML solutions across Google’s services and products. You will contribute to design, testing, and optimization while collaborating with diverse teams to deliver high-impact technology.

The role emphasizes handling large-scale systems, AI model deployment, and cutting-edge infrastructure, with opportunities to shape the future of cloud and AI platforms.