Senior ML Engineer, Applied AI & Autonomous Agents

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

Benefits offered by this job

Health insurance

Job summary

Google Cloud is seeking software engineers to help build the next-generation AI agent platforms. You will work on projects across information retrieval, distributed computing, large-scale system design, networking, and security, with opportunities to switch teams as the business grows.

The Cloud Applied AI portfolio powers Gemini Enterprise and other AI agent solutions. In this role, you will manage the end-to-end developer journey—Build, Evaluate, Optimize, Deploy and Monitor—using frontend

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Responsibilities

• Design and build recommendation systems for AI Agents.
• Develop skill discovery and matching capabilities for AI Agents.
• Develop and implement investigative tools for AI Agent performance.
• Manage stakeholders effectively and solve ambiguous technical issues, contributing to the overall strategy and roadmap for the team.
• Provide coaching to your team, and contribute to Google's culture and operations.

Job description

Google Cloud is seeking software engineers to help build the next-generation AI agent platforms. You will work on projects across information retrieval, distributed computing, large-scale system design, networking, and security, with opportunities to switch teams as the business grows.

The Cloud Applied AI portfolio powers Gemini Enterprise and other AI agent solutions. In this role, you will manage the end-to-end developer journey—Build, Evaluate, Optimize, Deploy and Monitor—using frontend