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Junior Full Stack Machine Learning Engineer Jobs in Georgia

AppFolio

Sr. Machine Learning Engineer

Atlanta, GA · Remote

$100.50K - $138K/yr

... full business context of AppFolio -- powering both employee productivity and end-to-end automation. Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

StackandCo

\n \n \n \n \n The successful Senior Full Stack Developer will assume ownership for a diversity of greenfield projects and mentor junior developers. \n \n \n \n \n \n This role will involve adding new ...

Project Expedition

Full Stack Developer

Atlanta, GA · Remote

$90K - $100K/yr

Project Expedition is on the hunt for a passionate Full Stack Developer who thrives on solving complex problems, loves learning, and wants to make an impact in the travel and tech world. What You'll ...

Project Expedition

Full Stack Developer

Atlanta, GA · Remote

$90K - $100K/yr

Project Expedition is on the hunt for a passionate Full Stack Developer who thrives on solving complex problems, loves learning, and wants to make an impact in the travel and tech world. What You'll ...

Project Expedition

Full Stack Developer

Atlanta, GA · Remote

$90K - $100K/yr

Project Expedition is on the hunt for a passionate Full Stack Developer who thrives on solving complex problems, loves learning, and wants to make an impact in the travel and tech world. What You'll ...

Navtech, Inc.

Full Stack Java Developer

Alpharetta, GA · On-site

$51.25 - $66.25/hr

Equifax is looking for a full stack Cloud Engineer - Mortgage and Housing platform, who is ... Mentoring junior members of the team. * Diagnose and resolve performance issues. * Participates in ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Motivate junior engineers on best practices and latest industry design patterns. ABOUT FANDUEL ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Motivate junior engineers on best practices and latest industry design patterns. ABOUT FANDUEL ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Motivate junior engineers on best practices and latest industry design patterns. ABOUT FANDUEL ...

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Junior Full Stack Machine Learning Engineer information

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Georgia? The most popular types of Full Stack Machine Learning Engineer jobs in Georgia are:
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Junior Full Stack Machine Learning Engineer jobs near you

Sr. Machine Learning Engineer

AppFolio

Atlanta, GA • Remote

$100.50K - $138K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job 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-native platform where the real estate industry comes to do business. We’re revolutionizing how property managers operate, how residents live, and how intelligence flows through an entire industry.
We are now building the next generation of our platform with AI at the core.
Realm-X is AppFolio’s AI platform powering this transformation:
  • Assistant: a GenAI copilot embedded across the product experience
  • Flows: an agentic workflow system enabling automation of complex business processes
  • Performers: real-time, multi-modal AI agents operating across voice, text, email, and chat
We are building not only these experiences, but also the platform that enables teams across AppFolio to contribute and extend AI capabilities.
At the foundation are deep agents, built on a real estate ontology and domain primitives (transactions, actions, reports, metrics, and skills), allowing AI systems to understand and operate across the full business context of AppFolio — powering both employee productivity and end-to-end automation.
Who we are looking for
We’re seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio.
This is a high-impact position focused on defining architecture, building next-generation AI systems, and influencing technical direction across teams. You will work at the intersection of machine learning, distributed systems, and product innovation to create AI systems that move beyond assistance into execution.
Responsibilities:
  • Define and drive the technical vision and architecture for AI systems within Realm-X
  • Design and build deep, context-aware agents leveraging domain ontologies and structured business primitives
  • Lead the development of agentic workflows (Flows) that combine reasoning, planning, and execution
  • Architect systems for real-time, multi-modal AI agents (Performers) across communication channels
  • Build and evolve platform capabilities (tools, memory, evaluation systems, abstractions) to enable broad internal adoption
  • Translate ambiguous, high-impact problems into scalable, production-ready AI systems
  • Establish best practices for LLM evaluation, observability, safety, and iteration loops
  • Collaborate cross-functionally with product, design, and engineering leaders to shape strategy and execution
  • Mentor engineers and raise the technical bar across the organization
  • Identify and introduce emerging AI technologies and paradigms that create leverage for the business
You know you’re the right fit if…
  • You think in terms of systems and platforms, not just features
  • You have a track record of building and deploying ML/AI systems in production at scale
  • You are comfortable operating in high ambiguity and defining direction where none exists
  • You can lead through influence, aligning multiple teams around a technical vision
  • You balance long-term architecture with pragmatic delivery
  • You are motivated by high-impact problems that shape products and business outcomes
Additional Skills and Knowledge:
  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field (required)
  • Extensive experience developing and deploying machine learning systems in production environments
  • Strong software engineering expertise with languages such as Python, Go, Ruby, or JavaScript
  • Deep understanding of distributed systems, APIs, and cloud infrastructure (AWS or similar)
  • Experience leading large, cross-functional technical initiatives
  • Ability to design systems that integrate structured data, models, and real-time decisioning
Nice to Have:
  • Experience with LLMs, AI agents, and tool-using systems (e.g., LangChain, LangGraph, OpenAI APIs)
  • Familiarity with agentic architectures, planning/execution loops, and orchestration frameworks
  • Experience building domain-specific ontologies, knowledge graphs, or semantic layers evaluation frameworks for AI systems (offline and online)
  • Background in workflow orchestration systems (e.g., Temporal)
  • Experience building platforms that enable other engineering teams
  • Exposure to multi-modal AI systems (voice, chat, email, etc.)
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: 167,200.00 - 209,000.00 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.

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