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Computer Research Scientist Jobs in Chicago, IL (NOW HIRING)

Research Assistant

Chicago, IL ยท On-site

$55K - $65K/hr

Collaborate with scientists and research staff on multiple projects. Qualifications * Bachelor ... Basic computer proficiency, including Microsoft Office. * Ability to prioritize multiple ...

AI Training Specialist - Physics

Elgin, IL ยท On-site +1

$80 - $150/hr

... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Showing results 41-60

Computer Research Scientist information

See Chicago, IL salary details

$93.3K

$136.6K

$147.9K

How much do computer research scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for computer research scientist in Chicago, IL is $136,555.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $147,400.00 per year, depending on experience, location, and employer.

What is a computer research scientist?

Computer Research Scientists are professionals who invent and design new approaches to computing technology and find innovative uses for existing technology. They conduct research to solve complex problems in computing, develop new computer hardware and software, and work to advance the field of computer science as a whole. Their work often includes developing algorithms, working with big data, and improving the efficiency and security of computer systems. They are typically employed in academia, government, and private industry research labs. A strong background in mathematics, logic, and programming is essential for this role.

What are the key skills and qualifications needed to thrive as a computer research scientist?

To thrive as a Computer Research Scientist, you need a strong background in computer science, mathematics, and algorithm development, usually supported by a master's or doctoral degree. Familiarity with programming languages (such as Python, C++, or Java), machine learning frameworks, and research publication tools is typically required. Analytical thinking, creativity, and effective communication are essential soft skills for designing innovative solutions and collaborating with multidisciplinary teams. These skills and qualifications are crucial for advancing technology, solving complex problems, and contributing impactful research to the field.

What are some common challenges faced by computer research scientists when transitioning a theoretical concept into a practical application?

Computer Research Scientists often encounter challenges when moving from theory to practice, such as aligning their innovative solutions with existing technologies, managing resource limitations, and ensuring scalability. Collaborating with engineers and product teams is essential to adapt research prototypes into real-world systems that are robust and efficient. Additionally, balancing the need for scientific rigor with the fast-paced demands of industry can require effective communication and flexibility. Overcoming these challenges not only enhances the impact of their research but also provides valuable experience for career advancement.

What is the difference between Computer Research Scientist vs Data Scientist?

AspectComputer Research ScientistData Scientist
Required CredentialsMaster's or PhD in Computer Science, related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, analytics teams
Employer & Industry UsageUniversities, government agencies, research institutionsCorporations, startups, consulting firms
Common Search & Comparison IntentUnderstanding research roles in computingAnalyzing data to inform decisions

Computer Research Scientists focus on developing new algorithms, theories, and computing methods, often working in research settings. Data Scientists analyze large datasets to extract insights and support business decisions. While both roles require strong technical skills, their work environments and primary objectives differ significantly.

Are computer research scientists paid well?

Computer research scientists typically earn above-average salaries compared to many other tech roles, with median annual pay often exceeding $100,000. Salaries vary based on experience, education, location, and industry, and advanced skills in machine learning, data analysis, and programming can lead to higher compensation.

Are computer research scientists still in demand?

Computer research scientists are in high demand due to ongoing advancements in artificial intelligence, machine learning, and data analysis. They often work in research labs, tech companies, and academia, requiring strong programming skills and advanced degrees. Employment prospects are strong across various industries focused on innovation and technology development.

What job categories do people searching Computer Research Scientist jobs in Chicago, IL look for?

The top searched job categories for Computer Research Scientist jobs in Chicago, IL are:

Infographic showing various Computer Research Scientist job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $136,447 per year, or $65.6 per hour.

Campus AI Research Engineer - Research Automation (Full-Time)

Chicago, IL โ€ข On-site

Jump Trading
Finance and Insuranceย โ€ขย 501 - 1,000 employees

$300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition.
What You'll Do:
  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:
  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
  • Solid development skills in Python and/or C++
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
  • Ability to thrive in a collaborative, team-oriented environment
  • Ability to reason through quantitative problems and communicate effectively with trading researchers
  • Reliable and predictable availability

Bonus Points:
  • Experience with HPC and distributed large model training
  • Experience with GPU performance optimization (CUDA or ROCm)
  • Experience with end-to-end model development
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role is $300,000 per year.
Benefits
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs