Onton-posted 4 days ago
Full-time • Mid Level
Hybrid • San Francisco, CA

Our mission at Onton is to help people make decisions they love, instantly. We’re tackling the most economically impactful decisions first: the average shopping journey takes 79 days, and we’re taking that to less than 1. Since our public launch in late 2023, we've grown exponentially to guide millions of users to their perfect product. We recently built the foundation of a neurosymbolic AI agent that learns more about the world on every search. You have the chance to solve equally difficult problems as you scale Onton 10x over the next few months to serve 1B+ searches/year, which is just the beginning. You have the opportunity to: Join Onton as a Founding Engineer and set the foundation for our Engineering Team Design, scope, implement, and deploy user-critical features. Work with a dynamic team of other engineers, AI researchers, and product designers tackling cutting-edge problems to create a seamless, cohesive experience for users. Build across every layer of the stack — web app, container, infrastructure, etc. Stay up-to-date on the latest technologies and techniques to continually enhance our system, yourself, and the rest of the team.

  • Join Onton as a Founding Engineer and set the foundation for our Engineering Team
  • Design, scope, implement, and deploy user-critical features.
  • Work with a dynamic team of other engineers, AI researchers, and product designers tackling cutting-edge problems to create a seamless, cohesive experience for users.
  • Build across every layer of the stack — web app, container, infrastructure, etc.
  • Stay up-to-date on the latest technologies and techniques to continually enhance our system, yourself, and the rest of the team.
  • Have 3+ years of relevant engineering experience, preferably in fast-scaling companies.
  • Be a self-directed generalist, capable of picking up any engineering problem and solving it, no matter how tedious.
  • Quickly and iteratively ship code that is correct, robust, scalable, and maintainable.
  • Exercise exceptional communication and interpersonal skills.
  • Enjoy giving high-level abstractions low-level performance.
  • Have functional programming experience.
  • Have worked with NLP and ML models before and understand their capabilities and limitations.
  • We’re offering relocation compensation as we build density in this area.
  • We have a tenure system where, after a year, any team member can transition to a fully remote, provided they operate primarily on Pacific Time.
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