Principal - ML Architect
PhizenixRedwood City, CA, USjob_description.job_card.30_days_ago
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- serp_jobs.job_card.full_time
job_description.job_card.job_descriptionEducation : 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). 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.
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
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Principal Architect • Redwood City, CA, US