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Deep Learning Jobs in Chicago, IL (NOW HIRING)

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

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 ...

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 ...

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

Chime Financial, Inc

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Develop and deploy sequential deep learning models and traditional machine learning systems to power growth and marketing initiatives * Build predictive models using large-scale financial ...

RB Global Inc.

Staff Data Scientist

Westchester, IL · On-site

$100 - $140/hr

Design and build supervised, unsupervised, and deep learning models to solve high-impact business problems * Develop AI agentic applications and LLM-powered solutions to automate workflows and unlock ...

Bank of Montreal

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain ...

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 ...

BMO Financial

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain ...

BMO Capital Markets

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain ...

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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

$86.5K

$144.3K

How much do deep learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for deep learning in Chicago, IL is $86,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $143,300.00 per year, depending on experience, location, and employer.

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 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 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 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, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $86,482 per year, or $41.6 per hour.

Machine Learning Research Intern - Summer 2027 - Chicago

IMC

Chicago, IL • On-site

$300K/yr

Full-time, Temporary, Internship

PTO

Re-posted 11 days ago

Job description

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10-12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact.
Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation.
YOUR CORE RESPONSIBILITIES:
  • Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate.
  • Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems
  • Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers
  • Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

YOUR SKILLS AND EXPERIENCE:
  • Pursuing a PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or a related quantitative field and graduating between September 2027 - July 2028
  • Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
  • Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
  • Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
  • Must be able to start internship in-person on June 7, 2027

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $300,000
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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