[Remote] Sr. AI/Machine Learning Engineer - Supply Chain

Note: The job is a remote job and is open to candidates in USA. Samsara is a pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data for improved operations. They are seeking a Senior Applied Scientist II for their Supply Chain Innovation & Intelligence team, responsible for designing and deploying advanced machine learning models that optimize global supply chains.

Responsibilities
• Define the end-to-end AI transformation roadmap for supply chain alongside the Director, aligning with company OKRs and working closely with executive stakeholders
• Own the design, training, validation, and deployment of ML and statistical models. (e.g., demand forecasting, inventory optimization, supplier risk scoring), ensuring robust MLOps practices and measurable ROI
• Build predictive models to forecast demand, lead times, and cellular spend across Samsara’s global supply network
• Create novel features using large-scale ERP, IoT, and third-party datasets; build pipelines and ETL jobs to serve models and stakeholders
• 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—ensuring alignment on data requirements, integration, and change management
• Drive enhancements to our data infrastructure and analytics platform to support real-time model training, monitoring, and inference at scale
• Mentor junior scientists through code reviews and collaborative project work
• Act as a key scientific voice in roadmap planning, experimentation frameworks, and modeling strategy discussions
• Identify gaps in data, tools, and processes—and lead initiatives to close them
• Establish governance frameworks, documentation standards, and quality controls for model development, validation, and lifecycle management
• Partner with Ops management to drive adoption of AI tools, define new processes, and train supply chain teams on insights-driven workflows
• Hire, develop and lead an inclusive, engaged, and high-performing team
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Skills
• 8+ years of experience in applied data science or machine learning, ideally in supply chain, operations research, logistics, or manufacturing
• Master's or PhD in Computer Science, Statistics, Data Science, EE, OR, or a related technical field
• Expertise in statistical modeling or machine learning, including time series forecasting, optimization, and anomaly detection
• Strong coding skills in Python and fluency in SQL; experience developing and deploying production ML systems
• Familiarity with MLOps practices, including automated testing, CI/CD, model versioning, and monitoring
• Demonstrated track record building real-time inference pipelines and managing GPU/TPU resources
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, GCP, or Azure)
• A passion for operational excellence, cost efficiency, and building scalable, data-driven solutions
• Exceptional problem-solving, critical thinking, and communication abilities
• Deep Statistical Expertise: Able to design and validate experiments (A/B, multi-armed bandits) and apply Bayesian methods for uncertainty quantification
• Time-Series Mastery: Proven track record building advanced forecasting models (e.g., Prophet, LSTMs, Transformer-based) for intermittent demand and seasonal patterns
• Cost Optimization Mindset: Skilled in profiling ML workloads and driving down cloud/GPU spend through model compression (quantization, pruning) and serverless architectures
• Cross-Region Scaling: Demonstrated ability to deploy low-latency inference across multiple geographic regions with fail-over and disaster-recovery strategies
• Vendor & Open-Source Savvy: Experience evaluating and integrating third-party ML platforms and contributing to or leveraging relevant open-source projects

Benefits
• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans

Company Overview
• Samsara is digitizing the world of physical operations. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.samsara.com.