Senior AI/ML Engineer — Multimodal & LLM Workflows

Google LLC; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google LLC in Mountain View, CA, seeks a Senior Staff Software Engineer, AI/ML, Multimodal Rich Features to drive advanced ML systems. You will lead design for multimodal features, guide architecture decisions, and collaborate across teams to ship production-grade AI capabilities at scale.

The role emphasizes leadership, system optimization for ML pipelines, and hands-on contribution to model integration with LLMs, with a focus on delivering high-quality user experiences and measurable impact.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years in a technical leadership role and 5 years managing people.
• 5 years leading design for ML products and optimizing ML-enabled systems.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Set technical strategy and prioritization for the multimodal rich features domain.
• Resolve deep technical issues at the intersection of quality, new features, infra, and model training.
• Drive team execution and deliver on top-line metrics.
• Identify cross-workstream opportunities to connect the dots.
• Mentor and coach engineers to accelerate career growth.

Skills

Technical leadership

People management

ML product design

ML systems optimization

Generative AI / LLM integration

Education

Bachelor’s degree or equivalent practical experience

Job description

Google LLC in Mountain View, CA, seeks a Senior Staff Software Engineer, AI/ML, Multimodal Rich Features to drive advanced ML systems. You will lead design for multimodal features, guide architecture decisions, and collaborate across teams to ship production-grade AI capabilities at scale.

The role emphasizes leadership, system optimization for ML pipelines, and hands-on contribution to model integration with LLMs, with a focus on delivering high-quality user experiences and measurable impact.