Senior Staff ML & Cloud Systems Engineer

Google

Kirkland (WA)

On-site

USD 262,000 - 364,000

Full time

18 hours ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off
Sick time
Maternity leave
Baby bonding leave
Paid holidays

Job summary

Google is seeking a highly experienced software engineer to advance ML frameworks and cloud-based AI systems. You will design, build, test, deploy, and maintain scalable software, leading projects across ML infrastructure and deployment for large-scale models.

Strong background in Python, ML architectures, and cloud platforms (GCP/GKE) is essential, with leadership experience shaping technical direction and cross-team collaboration.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development (e.g., Python).
  • 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 5 years of experience with design and architecture; and testing/launching software products.

Responsibilities

  • Build and deliver ML frameworks to perform training at LLMS and stable diffusion models for Google Cloud customers.
  • Design and implement AI frameworks software for ML workloads in the cloud that enables models for language modeling, stable diffusion, rankings and recommendations, etc.
  • Identify and resolve issues in software, performance, and topology.
  • Work closely with software engineers, product managers and other engineering teams to get high-quality products and features through the software project lifecycle.
  • Design, develop, test, deploy, maintain, and improve software.

Skills

Python
ML design
ML infrastructure
Distributed systems
Cloud platforms (GCP)
PyTorch / JAX
Leadership
Model deployment

Education

Bachelor’s degree or equivalent practical experience
Master’s degree or PhD in Engineering/CS (preferred)

Tools

GCP
GKE
PyTorch
JAX

Job description

Google is seeking a highly experienced software engineer to advance ML frameworks and cloud-based AI systems. You will design, build, test, deploy, and maintain scalable software, leading projects across ML infrastructure and deployment for large-scale models.

Strong background in Python, ML architectures, and cloud platforms (GCP/GKE) is essential, with leadership experience shaping technical direction and cross-team collaboration.

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