Principal - ML Architect

Job Overview

As a Principal Architect, you will lead the design and evolution of intelligent, scalable systems for Multi-Agent Path Finding (MAPF). You'll define architectural direction, integrate machine learning and reinforcement learning, and build the core capabilities required to achieve safe, efficient, and autonomous decision-making at scale.

Key Responsibilities

• Architect distributed systems to support real-time path planning of multi-agent using Machine Learning.
• Lead design and implementation of ML model pipelines, including data ingestion, training, validation, deployment, and monitoring.
• Own production deployment of ML / RL models using MLOps tools such as Vertex AI or similar platforms.
• Integrate ML pipelines with robotic orchestration engines to support continuous learning and adaptation.
• Collaborate closely with software, robotics, product, and operations teams to align system goals with real-world fulfillment challenges.

Required Qualifications

Technical Expertise

California Pay Range

$180,000

$200,000 USD