Senior AI/ML Software Engineer – Deployment & Impact

Google LLC; Kirkland (WA); On-site; USD 147,000 - 210,000; 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

Sick time

Maternity leave

Baby bonding leave

13 paid holidays

Job summary

Google LLC in the United States (Sunnyvale, CA or Kirkland, WA) seeks software engineers specializing in ML to build next‑generation AI systems at scale. You will work on projects critical to Google’s needs, collaborating across teams and taking on new problems as products evolve.

The role emphasizes strong Python/C++ skills and end-to-end ML expertise, with a compensation package including salary, equity, and benefits. In-person interviews are common in the hiring process.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 1 year of experience with one or more: Speech/audio, reinforcement learning, ML infrastructure, or ML field specialization.
• 1 year of experience with end-to-end Machine Learning (model deployment, evaluation, data processing).

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt to updates.
• Triage product or system issues and debug/track/resolve.

Skills

Python

C++

ML concepts

Reinforcement learning

ML infrastructure

End-to-end ML

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in Computer Science or related fields

Job description

Google LLC in the United States (Sunnyvale, CA or Kirkland, WA) seeks software engineers specializing in ML to build next‑generation AI systems at scale. You will work on projects critical to Google’s needs, collaborating across teams and taking on new problems as products evolve.

The role emphasizes strong Python/C++ skills and end-to-end ML expertise, with a compensation package including salary, equity, and benefits. In-person interviews are common in the hiring process.