ML & Optimization Intern — Supply Chain

Rivian

Normal (IL)

On-site

USD 34,000 - 70,000

Full time

4 days ago
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Benefits offered by this job

Paid vacation
Paid sick leave
Medical insurance

Job summary

Rivian invites driven students to join our Spring Co-Op program in a data science and analytics capacity. You will design, train, and deploy machine learning models, and build optimization algorithms to improve supply chain performance.

You’ll collaborate with data engineers on large-scale data and create automated CI/CD pipelines, translating real-world bottlenecks into actionable AI solutions. Ideal candidates are enrolled in an accredited program for the full duration, with availability for

Qualifications

  • Master's degree in a quantitative discipline.
  • Strong Python and SQL skills; experience with AI/ML frameworks.
  • Hands-on optimization solver experience (Gurobi/COIN-OR/SciPy/OR-Tools).
  • Solid understanding of inventory control (EOQ, safety stock) and S&OP.
  • Experience building cloud data pipelines (AWS/Azure/GCP) with Spark/Databricks/Snowflake.
  • Experience with Generative AI workflows for document processing or decision support.
  • Familiarity with integrating models into SCM/ERP platforms (SAP IBP, Oracle SCM, Blue Yonder).
  • Knowledge of digital twins or RL in supply chains.

Responsibilities

  • Design, train, and deploy ML models.
  • Build mathematical optimization algorithms.
  • Collaborate with data engineers to clean and integrate large data streams.
  • Establish automated CI/CD pipelines.
  • Work with logistics teams to translate bottlenecks into data-driven solutions.

Skills

Python & SQL
AI frameworks
Optimization solvers
Inventory & S&OP
Cloud data pipelines
Generative AI workflows
ERP/SCM integration
Digital twin / RL

Education

Master's in Data Science/CS/OR/Industrial Eng.

Tools

Gurobi
COIN-OR
SciPy
Google OR-Tools

Job description

Rivian invites driven students to join our Spring Co-Op program in a data science and analytics capacity. You will design, train, and deploy machine learning models, and build optimization algorithms to improve supply chain performance.

You’ll collaborate with data engineers on large-scale data and create automated CI/CD pipelines, translating real-world bottlenecks into actionable AI solutions. Ideal candidates are enrolled in an accredited program for the full duration, with availability for

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