Senior Embedded AI/ML Engineer

Socket.dev; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google in Mountain View, CA is seeking software engineers to work on next-generation systems at scale, across information retrieval, distributed computing, and AI. You will contribute to projects critical to Google's core products and may switch teams as needed.

The role emphasizes versatility, collaboration, and ability to drive innovations in ML, NLP, and system design, with opportunities to impact billions of users.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of software development experience in multiple languages.
• 3 years testing, maintaining, or launching software products with design/architecture.
• 3 years in ML areas such as speech/audio, reinforcement learning, ML infrastructure, or related field.
• 3 years in ML infrastructure including deployment, evaluation, data processing or debugging.
• 2 years of experience in embedded systems.

Responsibilities

• Write and test product or system development code.
• Collaborate on design and code reviews to ensure best practices across technologies.
• Contribute to documentation or educational content and update with product changes.
• Triage issues and debug/resolve impact on hardware, network, or services.
• Design and implement ML solutions leveraging ML infrastructure.

Skills

5 years software development

Software testing

ML experience

ML infrastructure

Embedded systems

Technical leadership

Accessible technologies

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Data structures and algorithms

Job description

Google in Mountain View, CA is seeking software engineers to work on next-generation systems at scale, across information retrieval, distributed computing, and AI. You will contribute to projects critical to Google's core products and may switch teams as needed.

The role emphasizes versatility, collaboration, and ability to drive innovations in ML, NLP, and system design, with opportunities to impact billions of users.