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PHIZENIX

Principal - ML Architect

PHIZENIX, Redwood City

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2 weeks ago Be among the first 25 applicants

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.

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
  • Education: B.E/M.S in Computer Science, AI/ML, or a related field.
  • Experience: 12+ years of total experience (7+ years of experience in system architecture & AI/ML ; including 2+ years in technical leadership roles).
Technical Expertise
  • Strong knowledge of path planning, graph search algorithms, and optimization techniques for multi-agent systems.
  • Deep understanding of machine learning, deep learning, and reinforcement learning, with experience using TensorFlow or PyTorch.
  • Proven experience in building, deploying, and maintaining ML models in production environments.
  • Hands-on experience with MLOps, including CI/CD for models, pipeline orchestration, and model monitoring.
California Pay Range: $180,000 USD - $200,000 USD

Seniority level

  • Seniority level

    Not Applicable

Employment type

  • Employment type

    Full-time

Job function

  • Industries

    Construction

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