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Temporary Embedded Machine Learning Jobs in Illinois

AppFolio

Sr. Machine Learning Engineer

IL · Remote

$107.60K - $147.80K/yr

Assistant: a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL · Remote

$107.60K - $147.80K/yr

Assistant : a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Aquabyte

Embedded Software Engineer

Mundelein, IL

$134.20K - $176.60K/yr

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Improve our embedded Linux build and deployment process * Develop software to automate hardware ...

Motorola

Embedded Software Engineer

Schaumburg, IL

$75K - $150K/yr

... and machine learning, cybersecurity, signals intelligence and more. We can't tell you much more ... Hands-on experience in embedded software development is also beneficial. Our products are developed ...

AGCO

Computer Vision Engineer

Tremont, IL · Hybrid

$65K - $130K/yr

You'll get the opportunity to apply classical computer vision techniques as well as machine learning based detection and classification for real-time edge embedded electronics for agriculture ...

AGCO

Computer Vision Engineer

Tremont, IL · On-site

$65K - $130K/yr

You'll get the opportunity to apply classical computer vision techniques as well as machine learning based detection and classification for real-time edge embedded electronics for agriculture ...

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Hands-on usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

Marmon

Data Scientist

Carol Stream, IL · Hybrid

What You'll Do * Translate business requirements into analytical, machine learning, and GenAI ... Handson usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

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Temporary Embedded Machine Learning information

What is the difference between Temporary Embedded Machine Learning vs Embedded Software Engineer?

AspectTemporary Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant degrees in CS, EE, or data science; certifications in ML or embedded systemsDegrees in CS, EE; certifications in embedded systems or software development
Work EnvironmentProject-based, often in tech or manufacturing industries, with focus on ML integrationDesigning, developing, and testing embedded software in various industries like automotive, IoT
Industry UsageUsed in AI-driven embedded systems, IoT devices, and smart gadgetsUsed in consumer electronics, automotive, industrial automation

Temporary Embedded Machine Learning specialists focus on integrating machine learning models into embedded devices, often on a project basis. Embedded Software Engineers develop and maintain the software that runs directly on hardware. While both roles require embedded systems knowledge, the ML role emphasizes AI integration, whereas the embedded software engineer focuses on software development and system stability.

What are the most commonly searched types of Embedded Machine Learning jobs in Illinois? The most popular types of Embedded Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Temporary Embedded Machine Learning jobs? Cities in Illinois with the most Temporary Embedded Machine Learning job openings:
Temporary Embedded Machine Learning jobs near you

Sr. Machine Learning Engineer

AppFolio

Remote

$107.60K - $147.80K/yr

Full-time

Posted 24 days ago

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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