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Sr. Machine Learning Engineer - Realm-X
Sr. Machine Learning Engineer - Realm-XAppFolio, Inc • Remote - Denver, CO
Sr. Machine Learning Engineer - Realm-X

Sr. Machine Learning Engineer - Realm-X

AppFolio, Inc • Remote - Denver, CO
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Description

Hi, We’re AppFolio.

We’re innovators, changemakers, and collaborators. We’re more than just a software company — we’re building the cloud and AI-based Platform where the Real Estate industry comes to do business. We’re revolutionizing the way Property Managers do business, while improving how people live, and we want your ideas, your enthusiasm, and your passion to help us keep on innovating.

We love where we work, and you can, too.

Who we are looking for :

We’re seeking a Senior Full Stack Software Engineer to join our AI Engineering Group (Realm-X) and help drive the evolution of our Workflows Platform. This platform delivers a robust framework for automating key business processes—such as leasing, maintenance, move-ins, and move-outs—while equipping teams with powerful tools to build Agentic Workflows that push automation even further, streamlining both operations and communications.

We work collaboratively to set the technical direction for our SaaS and AI products, developing easy-to-use solutions for our customers. Our engineers find deep satisfaction in building things that customers need. We focus on delivering value to customers and understand that this often means delivering code that isn't perfect but meets customer needs.

This is an ideal opportunity for someone who has a passion for building leading-edge software in the intersection of workflows, AI Agents, and automation. We foster an environment that empowers small teams to set the technical direction of our solutions collaboratively.

Responsibilities :

Develop front-end and back-end scalable features for AppFolio’s robust and web-based workflow builder for Property Manager businesses.

Develop and improve AppFolio’s DSL (Domain-Specific Language), which enables our customers and internal teams to quickly create customizable business processes.

Formulate, implement, and evaluate algorithms and database queries to support SaaS scalability and stability.

Implement new features and optimize existing ones to drive maximum performance.

Use test-driven development, code reviews, and continuous integration to deliver high-quality software and rapidly fix bugs as they come up.

Work closely with, and incorporate feedback from other engineering team members, QA, product owners, and our APM customers.

Leveraging agile practices, encourage collaboration, prioritization, and urgency to develop at a rapid pace

Research, share, and recommend new technologies and trends.

You know you’re the right fit if…

You’ve heard of Ruby and Rails and have experience working with a language like Ruby, Go, Python, and JavaScript.

You love learning about new technologies but understand the value of using something old if it still does everything you need it to do.

You care about the long-term maintainability of the codebase and will learn to advocate for refactoring and clean-ups where appropriate.

You care about work-life balance and want your company to care about it, too; you'll put in the extra hour when needed but won't let it become a habit.

Additional Skills and Knowledge :

Bachelor's, Master's, or Ph.D. in Computer Science or related technical discipline

Hands-on work experience developing web-based applications, preferably in a SaaS environment using cloud technologies like AWS.

Creativity, the ability to solve complex problems without a roadmap

Nice to Have :

Knowledge or experience with some areas of our tech, like Ruby on Rails, React, Go, Python, and AWS.

Workflow technologies knowledge or experience (Temporal)

AI / ML knowledge or experience (evaluating and deploying models in production)

AI Agents knowledge (LangChain, LangGraph, OpenAI API, LLMs, and prompting)

Experience working across all levels of the development stack

Familiarity with Agile software development processes : Scrum or Kanban

Familiarity with Test-Driven-Development

Compensation & Benefits

The base salary that we reasonably expect to pay for this role is 152,000.00 - 190,000.00 USD annually. The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, etc.

Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and / or employment type.

Regular full-time employees are eligible for benefits - .

About AppFolio

AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com.

Why AppFolio

Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves.

Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills.

Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities.

Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed.

Paddle as One.

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Sr Machine Learning Engineer RealmX • Remote - Denver, CO

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