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

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

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 operational improvements. The role of Senior AI/Machine Learning Engineer focuses on designing, developing, and deploying advanced machine learning models to optimize the global supply chain, collaborating with cross-functional teams to drive impactful decisions.

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

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

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

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.

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.

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