Skip to main content

AI Fund

Engineer in Residence: MarketRadar

Mountain View, CAcontractmidAdded 1 month ago

About this role

The Engineer in Residence at MarketRadar will develop an AI-driven commercial action layer for SKU-heavy manufacturers, focusing on insights for OEM teams. This residency aims to evaluate the potential for a venture-scale company while allowing the candidate to showcase their ability to quickly build a working prototype.

What you'll do

  • Build MarketRadar for SKU-heavy manufacturers
  • Transform market signals into recommendations for pricing and sales
  • Focus on OEM commercial teams and their complex hardware portfolios
  • Collaborate with an enterprise design partner
  • Ship a working prototype in a short timeframe
  • Ensure confidentiality in candidate-facing materials

What they're looking for

  • AI and data analysis
  • Prototyping and software development
  • Understanding of SKU-heavy markets
  • Collaboration and teamwork
  • Problem-solving and critical thinking
  • Commercial acumen in pricing and sales

Benefits

  • On-site residency in Mountain View, CA
  • Compensation during the residency
  • Opportunity for a founding role in a new venture
  • Exposure to enterprise-level design partnerships
  • Focused 10 to 12-week program
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

AI Fund

AI Fund builds and invests in AI-powered applications spanning healthcare, productivity, manufacturing, and developer tools. The company is hiring AI Engineers, ML specialists, and full-stack engineers to deploy production machine learning solutions, develop AI-driven platforms for chronic care and business intelligence, and contribute to open-source AI infrastructure projects.

View all jobs at AI Fund

Likely interview questions

  • Walk us through a time you shipped a working prototype quickly under tight constraints. What did you cut, and what did you keep?
  • MarketRadar needs to turn fragmented market signals into actionable recommendations. How would you approach building that logic—what's your first instinct on the tech stack?