Job Title: Software Engineer Intern – AI & Data Discovery

Company Name: Downstream Marketplace

Job Url: https://jobs.gusto.com/postings/downstream-marketplace-software-engineer-intern-ai-data-discovery-efe21d1a-ad5d-46c2-bd7c-f929a3179c0e

Job Description: DOWNSTREAM MARKETPLACE
Software Engineer Intern – AI & Data Discovery
Remote · Intern
Company website
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Software Engineer Intern – AI & Data Discovery

About Downstream Marketplace
Downstream is a one-stop shop marketplace for equipment rentals and waste services, designed to streamline the process for construction project managers.
Description
Software Engineer Intern – AI & Data Discovery

Location: Remote

Type: Internship (Full-Time, begins May 2026)

About Us

We’re building technology that transforms how industries use data to make smarter decisions. Our team combines software engineering, AI/ML, and data systems expertise to deliver innovative solutions. As an intern, you’ll work alongside engineers and product leaders on real-world problems that push the boundaries of applied machine learning, data discovery, and intelligent automation.

What You’ll Do

Build and prototype software features focused on machine learning, data processing, and AI-driven insights.
Collaborate with engineers to design and implement pipelines for data discovery, classification, and enrichment.
Apply modern ML techniques (NLP, embeddings, clustering, prediction models) to real-world datasets.
Experiment with retrieval, ranking, and recommendation systems to improve user experiences.
Contribute to backend services (e.g., Python/Django, data APIs) and potentially frontend components (e.g., Flutter, React, or similar).
Participate in code reviews, sprint planning, and team demos—your work won’t be siloed, it’ll be part of our product.
What We’re Looking For

Strong interest in AI/ML, data discovery, and applied machine learning.
Programming experience in Python, with exposure to ML/AI libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
Familiarity with data processing frameworks (e.g., Pandas, Spark, or SQL) is a plus.
Understanding of core CS concepts: algorithms, data structures, and systems.
Curiosity, eagerness to learn, and willingness to experiment with new tools and approaches.
Bonus: Experience with cloud platforms (AWS, GCP, or Azure) or productionizing ML models.
What You’ll Gain

Hands-on experience with real production datasets and AI-driven product development.
Mentorship from experienced engineers across backend, frontend, and product.
A chance to ship features that reach real users—not just toy projects.
Exposure to the full lifecycle of building AI-enabled products, from data ingestion to model evaluation to user experience.