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Ibm Machine Learning Jobs in Chicago, IL (NOW HIRING)

... engine of IBM, focusing on advancing AI, hybrid cloud, and quantum computing. They are seeking a research scientist to develop novel quantum algorithms for simulation and machine learning ...

Design and guide the implementation of scalable AI and machine learning architectures using ... IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

IBM DataStage lead Location: Chicago, IL Position Type: Contract Duration: 6 / 12 Month Work Type ... talent, machine learning algorithms, and artificial intelligence to provide customized talent ...

... Machine Learning, and supporting data services • Strong grounding in platform engineering ... IBM is also committed to compliance with all fair employment practices regarding citizenship and ...

... Azure OpenAI, Azure Machine Learning, and enterprise data platforms • Develop reference ... IBM is also committed to compliance with all fair employment practices regarding citizenship and ...

Business Analyst IBM is seeking an experienced Business Analyst to join their team in Chicago ... Prior involvement in AI or machine learning projects focused on trading or process automation.

... machine learning. * Develop and maintain interactive dashboards using Power BI or similar tools to ... Manage reconciliation processes between Workday, IBM Planning Analytics (TM1), and other financial ...

New

Cloud Platform Architect

Chicago, IL · On-site

$67 - $85.25/hr

Stay current with advancements in AI and machine learning technologies. Troubleshooting and Problem ... Proficiency in two or more cloud platforms (AWS, Azure, GCP, OCI, IBM, Nutanix, Neo Cloud, etc.

... machine learning. * Develop and maintain interactive dashboards using Power BI or similar tools to ... Manage reconciliation processes between Workday, IBM Planning Analytics (TM1), and other financial ...

... machine learning. * Develop and maintain interactive dashboards using Power BI or similar tools to ... Manage reconciliation processes between Workday, IBM Planning Analytics (TM1), and other financial ...

Install, configure, and maintain IBM z/VM systems * Manage lifecycle of virtual machines (guests ... Our employee learningprograms give you access to the best learning in the industry to receive ...

New

Ibm Machine Learning information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do ibm machine learning jobs pay per year?

As of Jul 2, 2026, the average yearly pay for ibm machine learning in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an IBM Machine Learning Engineer, and why are they important?

To excel as an IBM Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning algorithms. Familiarity with IBM tools such as Watson Studio, SPSS Modeler, and cloud-based platforms, along with proficiency in Python or R, is essential. Strong problem-solving, communication, and collaboration skills help you translate business requirements into data-driven solutions. These competencies are crucial for effectively designing, deploying, and maintaining impactful machine learning models within IBM's ecosystem.

What is an IBM Machine Learning Engineer?

An IBM Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models using IBM's suite of tools and platforms, such as IBM Watson, SPSS Modeler, and IBM Cloud. They work with large datasets to develop predictive models, automate decision-making processes, and solve complex business problems. These engineers collaborate with data scientists, software developers, and business stakeholders to implement AI solutions that drive innovation and efficiency within organizations.

What types of projects and collaboration can I expect as an IBM Machine Learning specialist?

As an IBM Machine Learning specialist, you can expect to work on diverse projects ranging from developing predictive models to automating business processes with AI. You will frequently collaborate with data scientists, software engineers, and business analysts to translate complex data into actionable insights. The environment is typically agile and encourages cross-functional teamwork, where you'll participate in regular meetings, code reviews, and brainstorming sessions. These collaborations not only enhance project outcomes but also offer valuable opportunities for professional growth and knowledge sharing.

What is the difference between Ibm Machine Learning vs Data Scientist?

AspectIbm Machine LearningData Scientist
Required CredentialsCertifications in IBM AI/ML tools, programming skillsDegree in CS, statistics, or related field; often certifications in data analysis
Work EnvironmentFocus on developing and deploying ML models using IBM platformsData analysis, model building, and interpretation across various tools
Industry UsagePrimarily in organizations using IBM cloud and AI solutionsAcross industries, using diverse tools and programming languages

IBM Machine Learning specialists focus on deploying ML models within IBM ecosystems, while Data Scientists analyze data and build models using various tools. Both roles require programming skills, but Data Scientists often have broader analytical responsibilities. The choice depends on whether you prefer working within IBM platforms or a more general data analysis environment.

What job categories do people searching Ibm Machine Learning jobs in Chicago, IL look for? The top searched job categories for Ibm Machine Learning jobs in Chicago, IL are:
Research Scientist

Research Scientist

IBM

Chicago, IL • On-site

Full-time

Posted 9 days ago


IBM rating

7.9

Company rating: 7.9 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

105th of 202 rated software companies


Job description

Job Summary:
IBM Research is the innovation engine of IBM, focusing on advancing AI, hybrid cloud, and quantum computing. They are seeking a research scientist to develop novel quantum algorithms for simulation and machine learning, collaborating with leading scientists to push the boundaries of technology.
Responsibilities:
• Develop novel quantum algorithms that combine quantum and classical resources for simulation of physical systems, including ground states, thermal states, time evolution, and open-system models.
• Demonstrate quantum algorithms on real-world applications in physics, chemistry, and materials science.
• Improve upon and develop novel quantum machine learning methods that combine quantum and classical resources for learning tasks on classical and quantum data.
• Develop hybrid workflows that combine measurement data from quantum experiments with classical ML to predict properties of quantum systems.
• Develop learning theory results for QML, including generalization and complexity bounds, and identify settings showing separation between quantum and classical approaches.
• Expand the quantum ecosystem and connect to ML and quantum communities through working groups and collaborations.
Qualifications:
Required:
• Experience in academic graduate program related to applicable fields (e.g., quantum computing, quantum algorithms, machine learning, computer science, statistics, information theory).
• Experience developing and/or analyzing quantum algorithms for simulation (ground states, thermal states, dynamics, or related).
• Experience with quantum machine learning and/or hybrid quantum-classical learning workflows.
• Experience implementing research code, ML frameworks, and Qiskit.
• Experience running demonstrations on quantum processors.
Preferred:
• Doctorate Degree
• Strong publication record in high-impact journals or top conference proceedings.
• Programming experience in core & scientific language (e.g. python, numpy, scipy, matplotlib) and Qiskit.
• Experience with tensor-network methods for many-body systems (e.g., MPS/MPO), including DMRG, and with iterative ground-state solvers for extremal eigenpairs (e.g., Lanczos, Davidson).
• Familiarity with Git and/or Github.
• Successful record of collaborative work.
• Experience leading research projects in industry or academically.
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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