Senior Android ML Engineer - AI/ML Systems

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

Job summary

Google is seeking software engineers to build the next generation of scalable systems and AI-powered services. You will work on projects across information retrieval, distributed computing, and large-scale system design, with opportunities to switch teams as needs evolve.

Android and related platforms are highlighted as examples of the scale and impact of our work. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more ML areas (speech/audio, RL, ML infra, or related field).
• 3 years of experience with ML infrastructure (model 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 based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing sources of issues and impact on hardware, network, or service operations and quality.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Skills

Python

C++

Software design

ML infrastructure

Software testing

Education

Bachelor's degree

Master's degree

PhD

Job description

Google is seeking software engineers to build the next generation of scalable systems and AI-powered services. You will work on projects across information retrieval, distributed computing, and large-scale system design, with opportunities to switch teams as needs evolve.

Android and related platforms are highlighted as examples of the scale and impact of our work. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.