Senior Staff ML Systems Architect – Cloud AI Leader

Google LLC; Seattle (WA); Sur place; USD 262 000 - 364 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) retirement plan

Paid Time Off

Sick Time

Maternity Leave

Baby Bonding Leave

Holidays

Résumé du poste

Google LLC is seeking senior software engineers to build and scale ML frameworks for training large language models and diffusion models on Google Cloud. You will lead ML design, work with ML infrastructure, and help shape distributed systems that power AI services used by billions of users.

You will design, develop, test, deploy, and maintain software across teams, with emphasis on scalability, reliability, and performance.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8+ years in software development with Python.
• 7+ years leading technical project strategy and ML design.
• 5+ years with ML fields like speech, reinforcement learning, ML infrastructure.
• 5+ years design and architecture and launching software.

Responsabilités

• Build and deliver ML frameworks to perform training for LLMs and diffusion models.
• Design AI software for ML workloads in the cloud enabling language modeling, diffusion, rankings and recommendations.
• Identify and resolve issues in software, performance, and topology.
• Collaborate with software engineers, product managers and other teams to deliver high-quality products.
• Design, develop, test, deploy, maintain, and improve software.

Connaissances

Software development

ML design leadership

ML infrastructure

Speech/Audio ML

Reinforcement learning

System architecture

Formation

Bachelor's degree or equivalent

Master's degree or PhD (Preferred)

Outils

GCP

TensorFlow/PyTorch

Distributed systems

Description du poste

Google LLC is seeking senior software engineers to build and scale ML frameworks for training large language models and diffusion models on Google Cloud. You will lead ML design, work with ML infrastructure, and help shape distributed systems that power AI services used by billions of users.

You will design, develop, test, deploy, and maintain software across teams, with emphasis on scalability, reliability, and performance.