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Musashi AI North America, Inc. is a growing hardware and software focused company that builds smart vision solutions for quality assurance in manufacturing environments. Based in Waterloo, Ontario, Musashi AI North…
Build and scale production-grade ML systems to predict real-time user value and optimize personalized reward systems for a high-growth adtech platform serving tens of millions of users.
Build and deploy AI/ML systems that power Sigma’s analytics platform, enabling users to explore data, build apps, and automate workflows with natural language and agentic tools.
Leads the design and scaling of ML infrastructure and systems for a cloud-native automotive platform, productionizing models and setting engineering standards across the organization.
Build and maintain large-scale data infrastructure for ML pipelines, training datasets, and distributed batch/stream processing using Spark, Flink, Ray, and orchestration tools.
Build and deploy ML systems for identity resolution, audience modeling, and personalization on AWS/Databricks, turning first-party data into scalable ML capabilities for media and advertising.
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Build and improve Wayve’s Gaia video world model, training large-scale ML models to predict future driving frames and generate synthetic scenarios for autonomous vehicles.
Design and operate the Kubernetes-based infrastructure that runs Xoriant’s AI/ML platform, including on-call rotation, observability, and cloud-native tooling.
Build and deploy production-grade machine learning systems for ad-targeting and analytics using Databricks, MLFlow, and cloud infrastructure.
Build and scale ML systems that generate deep understanding of audio, video, text, and images to automate content enrichment and improve quality for Spotify’s global platform.
Design and deploy deep-learning perception models for autonomous systems, focusing on computer vision and edge deployment using frameworks like PyTorch or TensorFlow.
Build and harden AI agents that resolve customer tickets by planning actions, calling tools, and learning from production data in Python on Kubernetes.
Build and deploy ML models for Apple News, Books, and Stocks to power recommendations, search, and AI features using Python, PyTorch, and TensorFlow.
Lead AI/ML product development for an insurance-focused platform, owning ML features that automate renewals and drive data-driven insights for brokerages.
Lead Affirm’s ML underwriting systems, designing and scaling advanced models (e.g., Transformers, XGBoost) with PyTorch and Spark to drive transparent credit decisions and mentor senior engineers.
Lead Benevity’s AI/ML strategy, designing scalable GenAI systems, LLM-powered features, and MLOps pipelines to deliver measurable business value from model training to production monitoring.
Lead the design and architecture of Stripe’s ML Platform, building scalable systems for training, serving, and monitoring ML models that power fintech products like Payments and Radar.
Lead the ML vision for Lime’s supply and fleet optimization systems, building forecasts and deployment strategies that power millions of rides worldwide.
Design and deploy deep-learning perception models for automotive ADAS systems, optimizing neural networks for embedded hardware and real-time performance.
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