Full-Stack SWE Application

Full-Stack Software Engineer

FUTURESEARCH is looking for exceptional Full-Stack Software Engineers to build features that improve our ability to answer unusually hard questions that other AI systems fall short on. You are an engineer with expertise across the stack, and a keen eye for product. You can start with a raw idea, like: building a feature to search Wikipedia, find a dataset, extract it, parse it, compute statistics from it, generate a graph, and style it to explain the finding to the user. You can quickly prototype it, build it, refine it, and make is successful. You either have experience in, or can very quickly learn, to build with our stack: GCP + Azure + Vercel, Dagster, Python, NextJS, Typescript, Tailwind, Supabase. You work quickly, and love using the products that you build.

Please fill out this form to apply for an interview. You should spend no longer than 60 minutes on the questions below.

Name

First Name

Last Name

http://

Location

We are fully remote, with SF and London as our primary in-person locations.

Resume or CV (unpolished is ok!)

Please link to a shared Google Doc

http://

Review the following analysis of the Apple Antitrust lawsuit and propose a second reference class in addition to "DOJ antitrust lawsuits led to behavioral remedies" (Note that this is detailed in #4 of the GitHub write-up) that would be useful to consider for this question: https://github.com/varunaai

Spend no more than 30 minutes on this question

If you could only change one thing about how that forecast looks, what would it be? How would it make this a better experience for the customer?

What is one novel way in which you get value out of AI (chatbots, image/video generation, document reading, coding, etc.)?

Please keep your answer to 3 sentences or less.

What is the most impressive thing you have built?

Please keep your answer to 3 sentences or less.