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Sr. AI/Machine Learning Engineer - Supply Chain

1 month, 3 weeks ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
AWS Azure CI/CD ERP Feature Engineering GCP IoT LSTM Machine Learning MLOps Power BI Python SQL Tableau
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Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015
View All Jobs 102

Description

  • Define the end-to-end AI transformation roadmap for supply chain, aligning with company OKRs and executive stakeholders.
  • Own design, training, validation, and deployment of ML and statistical models (e.g., demand forecasting, inventory optimization, supplier risk scoring) with measurable ROI.
  • Build predictive models to forecast demand, lead times, and cellular spend across Samsara’s global supply network.
  • Create novel features from large-scale ERP, IoT, and third-party datasets and build pipelines/ETL jobs to serve models and stakeholders.
  • Deliver production-grade code supporting both batch and real-time inference and apply MLOps best practices (testing, CI/CD, model versioning, monitoring).
  • Act as the AI liaison to Product, Engineering, Procurement, and Finance to align on data requirements, integration, and change management.
  • Drive enhancements to data infrastructure and analytics platforms to support real-time model training, monitoring, and inference at scale.
  • Mentor and review code for junior scientists and contribute to hiring, developing, and leading an inclusive, high-performing team.
  • Establish governance frameworks, documentation standards, and quality controls for model development, validation, and lifecycle management.
  • Partner with operations teams to drive adoption of AI tools, define new processes, and train supply chain teams on insights-driven workflows.

Requirements

  • 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, Electrical Engineering, Operations Research, or a related technical field.
  • Expertise in statistical modeling and machine learning, including time series forecasting, optimization, and anomaly detection.
  • Strong coding skills in Python and fluency in SQL, with 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 (AWS, GCP, or Azure).
  • Exceptional problem-solving, critical thinking, and communication abilities and a passion for operational excellence and cost efficiency.
  • Willingness and ability to work end-to-end (ideation to deployment) and to set multi-quarter plans and mentor through influence.
  • Role open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area; ability to secure and maintain legal right to work is required.

Benefits

  • Annual base salary range $170,170–$257,400 USD (varies by location, experience, and skills).
  • Total compensation package including base salary + bonus/variable + restricted stock unit awards (RSUs) and potential RSU refresh grants for eligible roles.
  • Competitive pay-for-performance philosophy with above-market equity refresh opportunities for top performers.
  • Full-time employees receive health benefits and a competitive total compensation package.
  • Employee-led remote and flexible working model with hybrid and remote options where applicable.
  • Inclusive accommodations for candidates with disabilities and support for reasonable accommodations during the recruiting process.

Interested in this position?

Apply directly on the company website

Apply Now

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