Senior AI/ML Software Engineer, Labs — Impact & Mentorship

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

Job summary

Google Mountain View is seeking a Senior Software Engineer in AI/ML within Labs to advance cutting-edge ML research and deployment. You will work on scalable systems, collaborate across teams, and contribute to impactful products that organize and make information accessible.

The role emphasizes experience in software design, ML infrastructure, and Generative AI, with leadership responsibilities and opportunities to guide junior engineers.

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 software design/architecture.
• 3 years of experience with one or more of: Speech/audio, reinforcement learning, ML infrastructure, or another ML field.
• 3 years of experience with ML infrastructure (deployment, evaluation, data processing, debugging).
• Experience with Generative AI.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to documentation and adapt content based on updates and user feedback.
• Triage product or system issues and debug/resolve impacting hardware, network, or service operations.
• Design and implement ML solutions, leverage ML infrastructure, and demonstrate expertise in a field.

Skills

Software development

Generative AI

ML infrastructure

Technical leadership

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

Google Mountain View is seeking a Senior Software Engineer in AI/ML within Labs to advance cutting-edge ML research and deployment. You will work on scalable systems, collaborate across teams, and contribute to impactful products that organize and make information accessible.

The role emphasizes experience in software design, ML infrastructure, and Generative AI, with leadership responsibilities and opportunities to guide junior engineers.