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Computer Researcher Jobs in Illinois (NOW HIRING)

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

University of Utah

Computer Technician

Campus, IL

$17.75 - $23.75/hr

This position requires on-site attendance at the UCL facility in Research Park. Shift selection is ... Provide first level of computer and classroom technology support. * Setup and deployment of ...

University of Utah

Computer Technician

Campus, IL · On-site

$17.75 - $23.75/hr

This position requires on-site attendance at the UCL facility in Research Park. Shift selection is ... Provide first level of computer and classroom technology support. * Setup and deployment of ...

University of Utah

Computer Technician

Campus, IL · On-site

$17.75 - $23.75/hr

This position requires on-site attendance at the UCL facility in Research Park. Shift selection is ... Provide first level of computer and classroom technology support. * Setup and deployment of ...

IMC

Graduate Quantitative Researcher (PhD)

Chicago, IL · On-site

$250K/yr

... Computer Science, or another highly quantitative field * Has a passion for research and problem ... solving * Approaches data analysis with rigorous thought processes and strong intuition * Is a ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

This role is part of a central ML research team that collaborates across trading teams at IMC. The ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

IMC

Graduate Quantitative Researcher (PhD)

Chicago, IL

$250K/yr

... Computer Science, or another highly quantitative field * Has a passion for research and problem ... solving * Approaches data analysis with rigorous thought processes and strong intuition * Is a ...

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Computer researchers are in demand due to ongoing advancements in artificial intelligence, machine learning, and data analysis. They typically require strong programming skills and knowledge of algorithms, with employment opportunities available in academia, industry, and government sectors.

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Infographic showing various Computer Researcher job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Machine Learning Researcher

Chicago, IL • On-site

IMC
See more jobs at IMCexternal

$250K - $300K/yr

Full-time

PTO

Re-posted 13 days ago

Key responsibilities

  • Design and deploy machine learning models to enhance trading performance across various asset classes

  • Research, test, and prototype new algorithmic ideas; deploy advanced ML techniques for market prediction, signal generation, and portfolio optimization

  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Job description

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism. This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.
Your Core Responsibilities:
  • Design and deploy machine learning models to enhance trading performance across various asset classes
  • Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
  • Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Your Skills and Experience:
  • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 2+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models
  • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
  • Strong understanding of theoretical foundations of state-of-the-art ML models
  • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills

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.
Salary Range
$250,000-$300,000 USD
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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