Staff AI/ML Engineer, Cloud Infrastructure

Google LLC; Mountain View (CA); Sur place; USD 207 000 - 300 000; Plein temps

Résumé du poste

Google Cloud seeks a Staff Software Engineer focused on AI/ML to push the boundaries of scalable software and machine learning. You will lead multi-disciplinary work across AI models, infrastructure, and deployment, shaping solutions used by Google Cloud customers and billions of users.

You will guide design, architecture, and delivery, mentoring teams and driving end-to-end ML initiatives in a fast-paced environment.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 5 years of experience leading ML design and end-to-end ML development and deployment.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.

Responsabilités

• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• Provide technical leadership on high-impact projects; manage priorities, deadlines, and deliverables.
• Facilitate alignment across teams on goals, outcomes, and timelines; coach a distributed team of engineers.
• Lead design and implementation of ML solutions, optimize ML infrastructure, and guide data processing strategies.

Connaissances

Speech/audio

Reinforcement learning

ML infrastructure

ML design leadership

Distributed system design

Model deployment

Data processing

Testing and launching software

Architecture

Formation

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering, Computer Science, or related field

Description du poste

Google Cloud seeks a Staff Software Engineer focused on AI/ML to push the boundaries of scalable software and machine learning. You will lead multi-disciplinary work across AI models, infrastructure, and deployment, shaping solutions used by Google Cloud customers and billions of users.

You will guide design, architecture, and delivery, mentoring teams and driving end-to-end ML initiatives in a fast-paced environment.