San Francisco, California, United States Hybrid Full-time USD 175000-240000/year

Onton is hiring a Founding Staff Software Engineer

About the Role

As a Founding Staff Software Engineer at Onton, you will play a pivotal role in shaping the engineering foundation and scaling the platform to support over 1 billion searches per year. You'll work across the full stack to build user-critical features and help scale a neurosymbolic AI agent that enhances decision-making for millions of users.

Responsibilities

  • Join Onton as a Founding Engineer and set the strategic 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

Requirements

  • Have 8+ 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

Preferred Qualifications

  • 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

Technical Stack

neurosymbolic AI, graph engine, natural language processing (NLP), machine learning models, object detection, inference engine, multimodal search, statistical parsing, symbolic parsing, RedisGraph, diffusion models

Benefits

  • Relocation compensation offered
  • Tenure system: after one year, transition to fully remote (operating on Pacific Time)
  • Onsite interviews and full-time in-person collaboration foster creativity, spontaneous collaboration, and strong relationships
  • Hybrid work model: 3 days a week in San Francisco office

Work Arrangement

Hybrid — San Francisco (Jackson Square) — 3 days a week in office; after one year, eligible for fully remote work if operating on Pacific Time

Onton is proud to be an equal opportunity employer. We do not discriminate in hiring or employment decisions based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other legally protected characteristics. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process.

Required Skills
neurosymbolic AIgraph enginenatural language processingmachine learningobject detectioninference enginemultimodal searchstatistical parsingsymbolic parsingRedisGraphscalable systemsfast-paced engineeringcommunication skillsgeneralist engineeringiterative development neurosymbolic AIgraph enginenatural language processingmachine learningobject detectioninference enginemultimodal searchstatistical parsingsymbolic parsingRedisGraphscalable systemsfast-paced engineeringcommunication skillsgeneralist engineeringiterative development
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About company
Onton

AI shopping assistant and image search engine for home decor. Type like you speak or search by image - we'll find it across 100+ retailers instantly.

Onton is a next-generation search and discovery engine. We’re a tight-knit San Francisco-based team building the future of shopping.

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Job Details
Department Engineering
Category data
Posted 9 months ago