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Intern - Engineering

iTradeNetworkBay Area, CA
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Job Description

JOB SUMMARY

We are seeking a Data Science & Machine Learning Intern, who will help us analyze large datasets, build predictive models, and discover insights to improve how food moves from farm to fork.

Key Responsibilities:

  • Develop ML Models: Assist in researching, building, and optimizing predictive models to solve real-world problems in supply chain logistics.
  • Data Analysis & Exploration: Work with large, complex datasets to extract meaningful insights, informing data-driven decisions for our team and customers.
  • Cross-Functional Collaboration: Partner with product managers, engineers, and other stakeholders to bring AI/ML solutions from proof-of-concept to production.
  • Innovation & Research: Experiment with emerging ML techniques and tools to enhance our platform's capabilities and maintain our competitive edge.
  • Reporting & Presentation: Communicate findings clearly in both written reports and presentations, ensuring technical and non-technical audiences understand the impact of your work.

What you'll need:

  • Enrolled in a bachelor's program in Computer Science, Software Engineering, Data Science, or a related field.
  • Strong organizational, analytical, interpersonal, and communication skills (verbal and written).
  • A creative thinker and self-starter-ready to tackle complex problems with curiosity and a collaborative spirit.
  • Comfortable working on diverse tasks and pivoting quickly to address evolving business needs.
  • Humble, open-minded, and proactive in sharing ideas with cross-functional teams.
  • Experience with Python, SQL, TensorFlow, PyTorch, or similar ML frameworks is a plus.

If you are a highly motivated and results-driven individual, with a passion for driving growth in a fast-paced, entrepreneurial environment, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work culture that values collaboration, innovation, and personal development.