BetterBasket logo
BetterBasket
Posted 166 days agoVerified live 13h ago

Software Engineering Intern

Brief overview

San Francisco, CAIn-person
Python (data systems, ML, concurrency)HTTP / REST APIsJavascript (Typescript, React, Node)SQL (query optimization, large-scale data handling)Scraping (Scrapy, Selenium, Playwright)LLMs / agentic systemsData modeling / entity resolutionProduct design (Figma)Distributed systems / inference at scale

About the company

BetterBasket logo
BetterBasketbetterbasket.ai

BetterBasket provides automated merchandising information for food and beverage enterprises.

Job description

Summary

BetterBasket is building AI systems for the food and beverage industry, focusing on automating pricing decisions for grocers. As an intern, you will work on core systems that power automated decision-making in grocery, dealing with real data and customer needs.

Responsibilities

  • How do we extract and normalize messy, unstructured data from hundreds of retailers into a unified product knowledge graph?
  • How do we match products across retailers — including private label, fresh, and imperfect data — with high precision?
  • How do we model demand, substitution, and elasticity to predict the impact of price and promotion changes?
  • How do we turn recommendations into actions — automatically triggering and executing price changes?
  • How do we build systems that explain why something happened in a store — and what to do next?

Skills

  • Python (data systems, ML, concurrency)
  • HTTP / REST APIs
  • Javascript (Typescript, React, Node)
  • SQL (query optimization, large-scale data handling)
  • Cloud / DevOps (Azure, Kubernetes, Docker, Redis)
  • Scraping (Scrapy, Selenium, Playwright)
  • LLMs / agentic systems
  • Data modeling / entity resolution
  • Product design (Figma)
  • Distributed systems / inference at scale

Qualifications

Must Haves

  • Python (data systems, ML, concurrency)
  • HTTP / REST APIs
  • Javascript (Typescript, React, Node)
  • SQL (query optimization, large-scale data handling)
  • Cloud / DevOps (Azure, Kubernetes, Docker, Redis)

Nice to Haves

  • Scraping (Scrapy, Selenium, Playwright)
  • LLMs / agentic systems
  • Data modeling / entity resolution
  • Product design (Figma)
  • Distributed systems / inference at scale

Benefits

  • Friday happy hours at the beer garden

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