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Entry Level Machine Learning Engineer Jobs in Aurora, IL

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL (Hybrid - 3 Days Onsite per Week) Long Term Contract Job Summary: We are seeking a highly motivated and ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is developing industry-leading AI and machine learning capabilities to improve ...

... for entry-level professionals eager to dive into the world of data analysis and machine learning within the computer software and engineering industry. As a Junior Data Scientist, you will play a ...

Entry-Level Process Engineer

Elmhurst, IL · On-site

$55K - $65K/yr

Learn precision gear manufacturing and CNC machining operations. Qualifications * Bachelor's degree ... Collaborative team culture that supports learning and development. Apply today and launch your ...

Learn precision gear manufacturing and CNC machining operations. Qualifications * Bachelor's degree ... Collaborative team culture that supports learning and development. Apply today and launch your ...

Utilize machine learning libraries and frameworks to support the development of tools for engineering analysis and decision-making. * Process and analyze data to train, validate, and evaluate AI ...

Strong foundation in AI, deep learning, and machine learning principles. * Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API. * Deep Learning Frameworks:

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Entry Level Machine Learning Engineer information

See Aurora, IL salary details

$29.7K

$68.8K

$117K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for entry level machine learning engineer in Aurora, IL is $68,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $77,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Aurora, IL? For Entry Level Machine Learning Engineer jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Aurora, IL look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Entry Level Machine Learning Engineer jobs? Cities near Aurora, IL with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Aurora, IL as of July 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 4% Part Time, 4% Contract, and 3% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $68,768 per year, or $33.1 per hour.
Graduate Machine Learning Researcher - Chicago

Graduate Machine Learning Researcher - Chicago

IMC

Chicago, IL

$300K/yr

Other

PTO

Posted 16 days ago


Job description

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.

Your Core Responsibilities:

  • Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production
  • Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
  • Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments
  • Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments
  • Collaborate closely with traders, researchers, and engineers to translate research into production trading systems

Your Skills and Experience:

  • PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field
  • 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
  • Ability to commence full-time employment in February or August 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