AI/ML Software Engineer — ML Infra & Deployment

Socket.dev; San Jose (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking software engineers to work on projects critical to our needs, with opportunities to switch teams as the company grows. You will contribute to backend systems, data storage, and AI-related developments across the Android and Google Play ecosystems.

Individual pay varies with skills and education. US: $147000 - $210000 (USD) plus 15% bonus target, equity, and benefits.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 2 years of experience programming in Python or C++.
• 1 year with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging).
• Master's degree or PhD preferred.
• 2 years of data structures or algorithms helpful.
• Experience developing accessible technologies beneficial.

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Contribute to documentation and educational content updates.
• Triage issues, debug and resolve impacts on hardware, network, or service operations.
• Implement solutions in ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Python

C++

ML infrastructure

Speech/Audio

Reinforcement learning

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related technical fields

Job description

Google is seeking software engineers to work on projects critical to our needs, with opportunities to switch teams as the company grows. You will contribute to backend systems, data storage, and AI-related developments across the Android and Google Play ecosystems.

Individual pay varies with skills and education. US: $147000 - $210000 (USD) plus 15% bonus target, equity, and benefits.