Senior AI/ML Software Engineer — Labs Garage

Google

Town of Montana (WI)

On-site

USD 174,000 - 252,000

Full time

7 days ago
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Job summary

Google in Mountain View, CA is seeking a Senior Software Engineer, AI/ML in Labs Garage to design and implement scalable ML systems and collaborate with cross-functional teams. You will contribute to cutting-edge AI projects used by billions of users and have opportunities to switch teams as our fast-paced environment evolves.

As an engineer, you will write and test code, review designs, triage issues, and contribute to ML infrastructure and research efforts.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of software development experience in one or more languages.
  • 3 years testing, maintaining, or launching software products, and 1 year in design/architecture.
  • 3 years of experience with Speech/Audio, reinforcement learning, ML infrastructure, or related ML field.
  • 3 years of experience with ML infrastructure (deployment, evaluation, data processing, debugging).

Responsibilities

  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
  • Contribute to existing documentation or educational content and adapt content with product updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing impact on hardware, network, or service operations.
  • Design and implement solutions in one or more ML areas, leverage ML infrastructure, and demonstrate expertise.

Skills

Software development
Programming languages
Software testing
Software architecture
Speech/Audio ML
Reinforcement learning
ML infrastructure

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in CS or related field

Job description

Google in Mountain View, CA is seeking a Senior Software Engineer, AI/ML in Labs Garage to design and implement scalable ML systems and collaborate with cross-functional teams. You will contribute to cutting-edge AI projects used by billions of users and have opportunities to switch teams as our fast-paced environment evolves.

As an engineer, you will write and test code, review designs, triage issues, and contribute to ML infrastructure and research efforts.

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