[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, helping organizations improve their physical operations through IoT data. They are seeking a Senior Applied Scientist II to join their Supply Chain Innovation & Intelligence team, responsible for designing and deploying advanced machine learning models to optimize the global supply chain. 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 • Health benefits • Employee-led remote and flexible working 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 Company H1B Sponsorship • Samsara has a track record of offering H1B sponsorships, with 68 in 2025, 53 in 2024, 59 in 2023, 70 in 2022, 1 in 2021, 8 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job