Senior Staff ML Engineer for Large-Scale AI Systems

Google LLC; Kirkland (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days

Sick leave 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Paid holidays 13 days

Job summary

Google LLC is seeking a software engineer specializing in ML to design, develop, and deploy large-scale systems. You will lead ML design, optimize infrastructure, and work across teams on complex projects critical to Google’s needs.

The role offers high-impact work within Gemini Enterprise, with exposure to advanced AI tooling and opportunities to advance technical leadership in a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years with Speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 5 years leading ML design and end-to-end ML optimization.
• 5 years testing and launching software products; 3 years in design/architecture.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Provide technical leadership on high-impact projects, manage priorities, deadlines, and deliverables.
• Facilitate alignment across teams on goals, outcomes, and timelines; coach a distributed team of engineers.
• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide data processing strategies.

Skills

Software development

Machine Learning

Technical leadership

Model deployment

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Engineering/CS

Tools

Vertex AI

Job description

Google LLC is seeking a software engineer specializing in ML to design, develop, and deploy large-scale systems. You will lead ML design, optimize infrastructure, and work across teams on complex projects critical to Google’s needs.

The role offers high-impact work within Gemini Enterprise, with exposure to advanced AI tooling and opportunities to advance technical leadership in a fast-paced environment.