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

Key Responsibilities AI Research & Innovation * Monitor, evaluate, and experiment with emerging AI ... Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics ...

D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline. * 8+ years of experience in AI/ML research ...

Research Assistant - CBM

Chicago, IL · On-site

$19.75 - $27.25/hr

You'll play a role in something that's never been done before as we integrate science and clinical ... Knowledge of basic computer hardware in addition to software such as Microsoft Office, statistical ...

Research Assistant - CBM

Chicago, IL · On-site

$19.75 - $27.25/hr

You'll play a role in something that's never been done before as we integrate science and clinical ... Knowledge of basic computer hardware in addition to software such as Microsoft Office, statistical ...

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Showing results 1-20

Computer Research Scientist information

See Chicago, IL salary details

$93.2K

$136.4K

$147.8K

How much do computer research scientist jobs pay per year?

As of Jul 29, 2026, the average yearly pay for computer research scientist in Chicago, IL is $136,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $147,300.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a Computer Research Scientist, and why are they important?

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.

How much does a computer science researcher make?

Computer research scientists typically earn a median annual salary of around $100,000, with salaries varying based on experience, education, and location. Entry-level positions may start lower, while experienced researchers or those with specialized skills can earn significantly more. Many roles require advanced degrees and proficiency in programming, data analysis, and research methodologies.

What does a computer research scientist do?

A computer research scientist conducts studies to develop new algorithms, models, and technologies in computing. They analyze data, design experiments, and publish findings, often working in academic or industry research settings using programming languages and specialized software. Their work advances knowledge in areas like artificial intelligence, machine learning, and computer systems.

What are Computer Research Scientists?

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 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.

Are computer 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 require strong programming skills, knowledge of algorithms, and advanced degrees, and employment opportunities are expected to grow faster than average in the coming years.

Is computer science dead due to AI?

Computer research scientists play a key role in advancing AI technologies and continue to find new applications for computer science. AI has increased demand for skills in algorithms, data analysis, and machine learning, making computer science a vital and evolving field rather than obsolete. Ongoing innovation ensures that computer science remains relevant in developing and understanding AI systems.
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 July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $136,447 per year, or $65.6 per hour.

AI Research Scientist

US Bank

Chicago, IL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 359 frontline employees who took The Breakroom Quiz

51st of 170 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

U.S. Bank is seeking an AI Scientist to join the Artificial Intelligence Center of Excellence (AI CoE), a high-impact organization responsible for advancing the bank's AI strategy through applied research, innovation, rapid prototyping, and enterprise deployment.

This role is ideal for a highly technical and hands-on AI practitioner who thrives at the intersection of research, experimentation, and implementation. The successful candidate will continuously evaluate emerging advances in artificial intelligence, identify opportunities to create business value, rapidly prototype novel solutions, and help evolve successful concepts into scalable enterprise capabilities.

Unlike traditional data science roles, this position spans the full AI research and development lifecycle. The ideal candidate combines strong scientific and engineering expertise with a practical mindset, enabling them to move seamlessly from exploratory research and experimentation to the development and deployment of production-grade AI solutions.

The candidate is expected to remain actively engaged with the broader AI community, stay current on academic and industry developments, and contribute to advancing AI innovation within the bank.

Key ResponsibilitiesAI Research & Innovation
  • Monitor, evaluate, and experiment with emerging AI technologies, research breakthroughs, and industry trends, with particular emphasis on generative AI, large language models (LLMs), multimodal AI, and agentic AI systems.

  • Identify opportunities to apply advanced AI techniques to complex business problems across financial services.

  • Conduct original AI research and exploratory investigations to assess the feasibility and value of novel approaches.

  • Develop hypotheses, design experiments, evaluate results, and communicate findings to technical and business stakeholders.

  • Contribute to patents, technical publications, whitepapers, prototypes, and innovation initiatives.

Prototyping & Solution Development
  • Rapidly transform research concepts into working prototypes and proof-of-concepts.

  • Design, develop, and validate AI solutions across the full lifecycle, from data preparation and modeling through deployment and monitoring.

  • Build experimental and production-ready solutions using modern AI/ML tools, frameworks, and cloud platforms.

  • Apply best practices in model evaluation, benchmarking, explainability, security, and responsible AI.

Generative AI & Agentic Systems
  • Develop solutions leveraging foundation models, generative AI, retrieval-augmented generation (RAG), fine-tuning techniques, and agentic workflows.

  • Design and evaluate AI agents, multi-agent systems, orchestration frameworks, tool-use architectures, memory systems, and human-in-the-loop workflows.

  • Contribute to best practices for prompt engineering, model adaptation, evaluation, observability, and governance of LLM-based systems.

  • Assess emerging model architectures and determine their applicability within a highly regulated environment.

Deployment & Technical Collaboration
  • Partner with software engineers, platform teams, product managers, and business stakeholders to transition successful prototypes into production environments.

  • Contribute to deployment and operationalization efforts for AI solutions.

  • Help balance innovation, scalability, security, compliance, and operational requirements throughout solution development.

  • Share knowledge and provide technical guidance to peers and junior team members.

  • Take ownership of assigned initiatives and ensure successful delivery of AI capabilities from concept through deployment.

Basic Qualifications

  • Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
  • Eight or more years of relevant experience
Preferred Qualifications
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Computational Linguistics, or a related field strongly preferred.

  • Deep expertise in machine learning, deep learning, neural networks, transformer architectures, and foundation models.

  • Experience with generative AI technologies, including LLMs, fine-tuning, RAG systems, model evaluation, and inference optimization.

  • Experience building and evaluating agentic AI systems, multi-agent workflows, AI orchestration frameworks, and autonomous decision-making architectures.

  • Hands-on experience with PyTorch, Hugging Face, LangChain, LangGraph, or equivalent AI ecosystems.

  • Demonstrated record of innovation through publications, patents, open-source contributions, conference presentations, or impactful AI solution delivery.

  • Experience developing AI solutions within highly regulated industries such as financial services, healthcare, insurance, or telecommunications.

  • Strong communication skills and the ability to translate complex AI concepts into actionable business outcomes.

**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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