ML Engineering Manager — Lead Teams & ML Systems

Google; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits package

Job summary

Google is seeking a Software Engineering Manager to lead teams across multiple sites, driving technical leadership and project delivery in the ML and AI space. You will manage engineers, guide architecture, and help shape product strategy while overseeing large-scale systems and deployment.

The role emphasizes cross-functional collaboration, scalability, and responsible engineering practices to deliver enterprise-grade solutions within Google Cloud.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with speech/audio, reinforcement learning, or ML specialization.
• 3 years of experience in a technical leadership role.
• 2 years of experience in people management or team leadership.
• 2 years of experience leading ML design and optimizing ML infrastructure.

Responsibilities

• Set and communicate team priorities aligned to organizational goals.
• Set expectations with individuals based on level and role; provide feedback and coaching.
• Develop the mid-term technical vision and roadmap for multiple teams.
• Design, guide and vet systems designs; write product or system development code.
• Lead the design and implementation of ML solutions; optimize ML infrastructure.

Skills

Software development

ML design & deployment

Technical leadership

People management

Team leadership

ML infrastructure

Education

Bachelor's degree or equivalent

Master's or PhD (preferred)

Tools

Python

TensorFlow/PyTorch

Cloud platforms (GCP/AWS)

Job description

Google is seeking a Software Engineering Manager to lead teams across multiple sites, driving technical leadership and project delivery in the ML and AI space. You will manage engineers, guide architecture, and help shape product strategy while overseeing large-scale systems and deployment.

The role emphasizes cross-functional collaboration, scalability, and responsible engineering practices to deliver enterprise-grade solutions within Google Cloud.