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AppFolio·San Diego, United States·onsite

Sr. Machine Learning Engineer - Realm-X

$152,000 - $190,000 Posted 2 months ago
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Ruby on RailsReactJavaScript

About the role

What you'll do

  • Develop scalable front-end and back-end features for a web-based workflow builder in the real estate SaaS domain.
  • Enhance and maintain a Domain-Specific Language (DSL) to enable customizable business processes for customers and internal teams.
  • Implement and optimize algorithms and database queries to ensure SaaS scalability and stability.
  • Collaborate closely with engineering, QA, product owners, and customers using agile methodologies and continuous integration.
  • Drive innovation by researching and recommending new technologies and trends relevant to AI, automation, and workflows.

What you should know

  • Ideal candidates have a passion for building AI-driven automation and workflow software in a SaaS environment.
  • The role requires balancing rapid development with maintainable, clean code and customer-focused delivery.
  • Applicants should be comfortable working in a small empowered team setting with collaborative technical decision-making.
  • Work-life balance is respected, with expectations to contribute extra effort occasionally but not habitually.
  • Experience or interest in AI Agents, workflow technologies, and cloud platforms will be advantageous.

About the company

  • AppFolio is a technology leader in the real estate industry, focusing on cloud and AI-based platforms.
  • The company values innovation, collaboration, and customer-centric development to improve property management workflows.
  • AppFolio fosters a culture of growth, learning, impact, and connection with strong emphasis on work-life balance.
  • They are a mid to large-sized SaaS company committed to diversity and equal opportunity employment.
  • The company emphasizes hybrid work flexibility while maintaining a connected and collaborative environment.

Key required skills

RubyRuby on RailsGoPythonJavaScriptAWSAgileTDD

Summary generated from the original posting.