IL · On-site
$107K - $147K/yr
Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
Machine Learning Engineer
Chicago, IL · On-site
$96 - $139/hr
Machine Learning Engineer (14907) At Moody's, we unite the brightest minds to turn today's risks ... Deep expertise in artificial intelligence, with a track record of implementing advanced AI ...
Machine Learning Engineer
Chicago, IL · On-site
$96 - $139/hr
Machine Learning Engineer (14907) At Moody's, we unite the brightest minds to turn today's risks ... Deep expertise in artificial intelligence, with a track record of implementing advanced AI ...
Machine Learning Engineer
$95K - $138K/yr
Deep expertise in artificial intelligence, with a track record of implementing advanced AI ... Collaborate with machine learning, software engineering, product development, sales, and cross ...
Machine Learning Engineer
$95K - $138K/yr
Deep expertise in artificial intelligence, with a track record of implementing advanced AI ... Collaborate with machine learning, software engineering, product development, sales, and cross ...
Machine Learning Engineering Manager
Chicago, IL · On-site
$118 - $153/hr
Applies deep learning technologies to give computers the capability to visualize, learn and respond ... Experience working as a Machine Learning Engineer or Data Scientist building and productional ...
Machine Learning Engineering Manager
Chicago, IL · On-site
$118 - $153/hr
Applies deep learning technologies to give computers the capability to visualize, learn and respond ... Experience working as a Machine Learning Engineer or Data Scientist building and productional ...
Deep Learning Engineer information
See Illinois salary details
$36.8K - $50.3K
5% of jobs
$50.3K - $63.9K
7% of jobs
$63.9K - $77.4K
9% of jobs
$80.3K is the 25th percentile. Wages below this are outliers.
$77.4K - $90.9K
14% of jobs
The median wage is $103.1K / yr.
$90.9K - $104.4K
16% of jobs
$104.4K - $118K
13% of jobs
$118K - $131.5K
6% of jobs
$138.7K is the 75th percentile. Wages above this are outliers.
$131.5K - $145K
8% of jobs
$145K - $158.5K
8% of jobs
$158.5K - $172K
7% of jobs
$172K - $185.6K
5% of jobs
$36.8K
$112.3K
$185.6K
How much do deep learning engineer jobs pay per year?
As of Sep 7, 2026, the average yearly pay for deep learning engineer in Illinois is $112,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $146,800.00 per year, depending on experience, location, and employer.
What is a deep learning engineer?
A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.
What does a deep learning engineer do?
Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.
What skills and qualifications does a deep learning engineer need?
To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.
Are deep learning engineers in demand?
Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.
What are the most commonly searched types of Deep Learning Engineer jobs in Illinois?
The most popular types of Deep Learning Engineer jobs in Illinois are:
What are popular job titles related to Deep Learning Engineer jobs in Illinois?
For Deep Learning Engineer jobs in Illinois, the most frequently searched job titles are:
- Google Cloud Machine Learning Engineer
- Contract Machine Learning Engineer
- Urgently Hiring Machine Learning Engineer New Grad
- Machine Learning Engineer Intern
- Internship Machine Learning Engineer New Grad
- Machine Learning Engineer Biotech
- Entry Level Machine Learning Engineer
- Remote Software Engineer Internship
- Machine Learning Ai Developer
- Senior Machine Learning Researcher
What job categories do people searching Deep Learning Engineer jobs in Illinois look for?
The top searched job categories for Deep Learning Engineer jobs in Illinois are:
$107K - $147K/yr
Full-time
This job post has expired today. Applications are no longer accepted.
AppFolio rating
7.2
Based on 8 frontline employees who took The Breakroom Quiz
184th of 247 rated software companies
Job description
Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
- Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
- Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
- Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
- Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
- Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.
Qualifications
- You have shipped production AI agents serving real users in voice and/or text channels.
- You think in pipelines and systems, not just models.
- You move fast, deliver impact, and maintain sound engineering judgment.
- You are humble, collaborative, and low-ego, and you elevate those around you.
- You value work-life balance as a foundation for sustained high performance.
Must Have
- Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
- Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
- LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
- Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
- Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
- ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
- Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Nice to Have
- Experience fine-tuning Small Language Models for domain-specific voice applications.
- Familiarity with RAG over structured business data and tool-using agents over API surfaces.
- Prior experience in regulated or customer-facing industries with strict reliability requirements.
- Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.
Location
Find out more about our locations by visiting our site.
All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process.
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: 167,200 - 209,000 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.
Regular full-time employees are eligible for benefits - see here.
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