Ironbelly Studios-posted 21 days ago
Full-time • Mid Level
Waterloo, CA
11-50 employees

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 America employs a talented and dynamic team of R&D and Applications Engineers who lead design, prototyping, and testing efforts to drive new technology development, build innovative products, and support our deployed solutions. The AI Team Lead, responsible for prioritizing team tasks, defining growth plans, and ensuring high team performance, will lead the development, deployment, integration, and ongoing maintenance of AI/ML solutions across the organization. This role focuses on transitioning AI/ML research and prototypes into robust, scalable production systems while ensuring continuous operation, performance optimization, and adaptability to evolving business needs. As a team lead, you will be both a hands-on contributor and strategic leader, managing a high-performing team of AI/ML engineers. You will be responsible for setting the technical direction and AI strategy, prioritizing tasks, defining team structure, establishing KPIs, and driving team growth and development. The role will be roughly 30% leadership and 70% hands-on, balancing technical execution with leadership and mentoring responsibilities. The team lead will collaborate with cross-functional teams including optics, electrical and robotics, and dashboard analytics, and will influence strategic initiatives that drive cost reduction, productivity improvements, and long-term value. Reports to: Director of Engineering

  • Drive measurable business outcomes and communicating impact to leadership.
  • Define the technical direction and long-term AI/ML strategy for Musashi AI North America.
  • Provide strategic guidance on project planning, cost, risk management, and deployment feasibility.
  • Define team structure, establish performance KPIs, and drive growth strategies for the AI/ML team.
  • Prioritize engineering efforts and balance workloads across projects to meet key milestones.
  • Present project updates, performance metrics, and future plans to internal stakeholders and leadership.
  • Lead the end-to-end deployment and integration of AI/ML models into production systems with a focus on scalability, performance, and robustness.
  • Translate computer vision research and IP into production-ready, maintainable systems.
  • Oversee maintenance and performance monitoring of deployed systems, ensuring minimal downtime and continuous improvement.
  • Define and test models against production metrics and business KPIs.
  • Conduct applied research to support product development and troubleshoot production issues.
  • Monitor and evaluate new trends and technologies in AI/ML to guide internal strategy and tool adoption.
  • Mentor junior engineers and drive team growth through recruitment, training, and performance development, fostering best practices across AI/ML and engineering teams.
  • Travel to client and Musashi locations as needed for project execution and collaboration.
  • Bachelor’s degree or higher in Computer Science, Software Engineering, Math, or a related field. Preferably P.Eng or master's in Computer Science, Software Engineering.
  • 10+ years of experience designing, deploying, and maintaining AI/ML solutions in production environments, including 5+ years in technical leadership or architecture roles.
  • Deep experience with state-of-the-art computer vision algorithms and their real-world applications.
  • Proficiency in Python, C, C++, and libraries such as OpenCV and CUDA.
  • Expertise with frameworks such as TensorFlow and/or PyTorch.
  • Experience productizing ML models with tools like CUDA, TensorRT, TFLite, and model quantization.
  • Strong understanding of edge computing technologies (e.g., Nvidia GPUs) and cloud computing platforms.
  • Experience with CI/CD pipelines and MLOps practices for deploying and updating ML systems.
  • Proven ability to create, manage, and deploy deep learning datasets for computer vision tasks.
  • Strong mathematical, analytical, and problem-solving skills.
  • Demonstrated ability to lead, mentor, and collaborate effectively in a team environment.
  • Experience in industrial automation, automated inspection systems, or robotics is a strong asset.
  • Experience with system monitoring, alerting, and observability tools for production AI.
  • Understanding of cybersecurity best practices for ML systems in industrial environments.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service