Engineering Manager, ML Systems & Data Platform

Socket.dev; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google, a leader in AI and cloud-scale data processing, seeks a Software Engineering Manager to guide ML projects and teams across multiple locations. You will shape product strategy, manage budgets, and help engineers optimize their work.

The role spans information retrieval, AI, NLP, distributed systems, and security-focused data intelligence initiatives. Responsibilities include overseeing large-scale deployments, coordinating across sites internationally, and mentoring engineers to deliver

Qualifications

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

Responsibilities

• Develop AI/ML systems from scratch for data platform.
• Process exabytes of data at planetary speed and enable search readiness within 30 minutes.
• Augment customer data with context to help security analysts triage incidents.
• Provide data management capabilities like removal and archival.
• Drive roadmap and execution of data intelligence indexing and enrichment projects, focusing on Spanner infrastructure.

Skills

Software development experience

ML design leadership

ML infrastructure optimization

Technical leadership

People management

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS (preferred)

Job description

Google, a leader in AI and cloud-scale data processing, seeks a Software Engineering Manager to guide ML projects and teams across multiple locations. You will shape product strategy, manage budgets, and help engineers optimize their work.

The role spans information retrieval, AI, NLP, distributed systems, and security-focused data intelligence initiatives. Responsibilities include overseeing large-scale deployments, coordinating across sites internationally, and mentoring engineers to deliver