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Deep Learning Jobs in Chicago, IL (NOW HIRING)

IMC B.V.

Machine Learning Researcher

Chicago, IL · On-site

$200 - $275/hr

... learning to solve challenging trading problems. This role is part of a central ML research team ... This is an opportunity to dive deep into feature engineering and alpha research, and focus on ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Design and implement novel machine learning and deep learning models tailored to internal research needs * Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

Develop deep learning pipelines for object detection, segmentation, and pose estimation * Build real‑time vision systems for robotic guidance, workpiece tracking, and dimensional verification

NAVA Software Solutions

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

Chicago IL -Hybrid - 3 days/week onsite Duration: 6-12 months Required: * 7+ years of hands-on experience in applied machine learning, deep learning, and AI system deployment * Strong Python ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Chicago, IL · On-site

$150 - $230/hr

... deep learning solutions. You will use your knowledge of ML toolkit and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners ...

JPMorgan Chase & Co

Applied AI/ML Lead

Chicago, IL · On-site

Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) * Ability to design experiments and training ...

J.P. Morgan

Applied AI/ML - Vice President

Chicago, IL · On-site

Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) * Ability to design experiments and training ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

$250 - $300/hr

... learning to solve challenging trading problems. This role is part of a central ML research team ... This is an opportunity to dive deep into feature engineering and alpha research, and focus on ...

JP Morgan Chase

Applied AI/ML Lead

Chicago, IL · On-site

Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) * Ability to design experiments and training ...

J.P. Morgan

Applied AI/ML Lead

Chicago, IL · On-site

Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) * Ability to design experiments and training ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Chicago, IL · On-site

$137K - $235K/yr

Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) * Ability to design experiments and training ...

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Showing results 41-60

All JobsDeep Learning JobsDeep Learning Jobs in Chicago, IL

Deep Learning information

See Chicago, IL salary details

$11.3K

$86.4K

$144.2K

How much do deep learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for deep learning in Chicago, IL is $86,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $143,200.00 per year, depending on experience, location, and employer.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.

What are the most commonly searched types of Deep Learning jobs in Chicago, IL?

The most popular types of Deep Learning jobs in Chicago, IL are:

What are popular job titles related to Deep Learning jobs in Chicago, IL?

For Deep Learning jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Chicago, IL look for?

The top searched job categories for Deep Learning jobs in Chicago, IL are:

Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $86,414 per year, or $41.5 per hour.

AI & Machine Learning Engineer

Lightspeed

Northbrook, IL • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for construction robots, focusing on machine learning models for computer vision, predictive analytics, and process optimization.
Responsibilities:
• Design, train, and deploy ML models for robotic control, quality prediction, and process optimization
• Develop reinforcement learning and imitation learning systems for robot task planning
• Build predictive maintenance models using sensor data to anticipate equipment failures
• Implement anomaly detection for real-time quality monitoring during automated assembly
• Optimize model inference for edge deployment on GPU-accelerated hardware in production
• Develop deep learning pipelines for object detection, segmentation, and pose estimation
• Build real-time vision systems for robotic guidance, workpiece tracking, and dimensional verification
• Implement 3D point cloud processing for construction material recognition
• Design and train models for visual quality inspection using depth cameras and industrial imaging
• Build ML data pipelines from sensor acquisition through model training and deployment
• Establish data labeling, versioning, and management workflows for training datasets
• Implement model monitoring, A/B testing, and continuous improvement in production
• Design experiment tracking and reproducibility infrastructure (MLflow, Weights & Biases)
• Integrate ML models with ROS2-based robot control for real-time inference
• Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms
• Collaborate with robotics engineers on sensor selection, placement, and calibration
• Support scaling ML systems across multiple production cells and sites
Qualifications:
Required:
• 4+ years hands-on ML engineering building and deploying production models
• Deep proficiency with PyTorch or TensorFlow for model development and training
• Strong computer vision experience: object detection, segmentation, depth estimation, or 3D vision
• Understanding of reinforcement learning, imitation learning, or robot learning approaches
• Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization)
• Strong Python with experience in C++ for performance-critical components
• Experience with ML infrastructure: data pipelines, experiment tracking, model serving
• Proficiency with Linux, Docker, Git, and CI/CD workflows
• Understanding of real-time system constraints for ML inference in production
Preferred:
• MS or PhD in Machine Learning, Computer Science, Robotics, or related field
• Experience with robotics simulation: MuJoCo, IsaacSIM, or similar
• Background in manufacturing, industrial automation, or construction technology
• Experience with ROS/ROS2 integration for ML-powered robotics
• Published research or patents in computer vision, robot learning, or related ML
• Experience with NVIDIA ecosystem: CUDA, cuDNN, TensorRT, Jetson platforms
Company:
BUILDING TOMORROW'S HOMES, FASTER AND SMARTER The Lightspeed Integrated Walls, Floors and Roof Systems are built with advanced software and AI driven industrial robots, allowing us to seamlessly craft the walls, floors and roofs, integrating the framing, MEPs, insulation, and drywall in a single, efficient manufacturing line. Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.

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