Description
Samsara is building an AI/ML team inside its Operations team to make its supply chain AI native. You would be one of its first AI/ML engineers. The goal is to design, develop, and deploy advanced machine learning and statistical models that optimize the global supply chain.
Responsibilities:
- Define the end-to-end AI transformation roadmap for supply chain
- Design, train, validate, and deploy ML models to production
- Build predictive models to forecast demand, inventory, lead times, and spend across Samsara's global supply network
- Create novel features using large-scale ERP, IoT, and third-party datasets
- Deliver production-grade code that supports both batch and real-time inference with MLOps best practices
- Act as the AI liaison to Product, Engineering, Procurement, and Finance
- Drive enhancements to the data infrastructure and analytics platform
- Mentor junior scientists through code reviews and collaborative project work
- Establish governance frameworks, documentation standards, and quality controls for model development, validation, and lifecycle management
Requirements:
- 8+ years in applied data science or ML, ideally in supply chain, operations research, logistics, or manufacturing
- Master's or PhD in Computer Science, Statistics, Data Science, EE, OR, or related technical field
- Expert in statistical modeling and ML
- Strong Python coding skills and fluency in SQL
- Proficiency in MLOps practices
- Experience building real-time inference pipelines and managing GPU/TPU resources for training at scale
Nice to have:
- Deep Statistical Expertise
- Time-Series Mastery
- Cost Optimization Mindset
- Cross-Region Scaling
- Vendor & Open-Source Savvy
- Domain Expertise