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Theoretical Computer Science Intern Jobs in Channahon, IL

micro1 AI

AI Training Specialist - Physics

Joliet, IL · On-site +1

$80 - $150/hr

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and ...

micro1 AI

AI Training Specialist - Physics

Aurora, IL · On-site +1

$80 - $150/hr

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ... Solid understanding of learning theory concepts such as regularization, generalization, loss ...

JLL

Senior Automation Engineer

Matteson, IL

$102K - $135K/yr

Bachelor's degree in computer science, electrical engineering, automation engineering, or ... theory,controlscomponents, and automated equipment. * Leadership experience in directing, training ...

JLL

Senior Automation Engineer

Monee, IL

$100K - $132K/yr

Bachelor's degree in computer science, electrical engineering, automation engineering, or ... theory,controlscomponents, and automated equipment. * Leadership experience in directing, training ...

Varsity Tutors

Calculus 3 Tutor

Naperville, IL · Remote

$18 - $40/hr

... theory, fluid dynamics, and computer graphics. * Curriculum Awareness & Adaptive Instruction ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Theoretical Computer Science Intern information

What does a theoretical computer science intern do?

A Theoretical Computer Science Intern typically works on fundamental problems in computer science, such as algorithms, computational complexity, cryptography, or data structures. Their work often involves mathematical proofs, designing algorithms, and analyzing their efficiency rather than practical software development. Interns may assist with ongoing research projects, collaborate with senior researchers, and contribute to academic papers or presentations. The goal is to deepen understanding of the theoretical foundations that underpin computer technology.

What types of projects or research topics does a theoretical computer science intern typically work on during their internship?

As a Theoretical Computer Science Intern, you'll often contribute to projects involving algorithm design, computational complexity, cryptography, or formal verification. Interns usually work closely with research scientists or professors, assisting in literature reviews, developing mathematical proofs, and running computational experiments. Collaboration is key, and you may present findings in group meetings or co-author papers. These internships provide an excellent opportunity to deepen your theoretical knowledge while gaining practical experience in a collaborative research environment.

What are the key skills and qualifications needed to thrive as a theoretical computer science intern, and why are they important?

To thrive as a Theoretical Computer Science Intern, you need a solid background in discrete mathematics, algorithms, and computational theory, often supported by ongoing or completed coursework in computer science or mathematics. Familiarity with programming languages like Python or C++, and tools such as LaTeX for documentation, is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you stand out in collaborative research environments. These skills are crucial for tackling complex theoretical problems, contributing to research projects, and clearly presenting findings.

What is the difference between Theoretical Computer Science Intern vs Software Development Intern?

AspectTheoretical Computer Science InternSoftware Development Intern
Required CredentialsComputer science coursework, strong math skillsProgramming skills, coursework in software engineering
Work EnvironmentResearch labs, academic settings, tech companiesDevelopment teams, tech companies, startups
Industry UsageResearch projects, algorithm development, academiaApplication development, product building, coding

Theoretical Computer Science Interns focus on research, algorithms, and mathematical foundations, often in academic or research settings. Software Development Interns work on coding, building applications, and software projects in industry environments. Both roles require strong technical skills but differ in their focus and work environment.

What cities near Channahon, IL are hiring for Theoretical Computer Science Intern jobs?

Cities near Channahon, IL with the most Theoretical Computer Science Intern job openings:

Theoretical Computer Science Intern jobs near you

AI & Agentic AI Developer (1-2 Years Experience)

Wise Equation Solutions Inc.

Naperville, IL • On-site

Other

Posted 22 days ago

Job description

Role Overview:

We are seeking a passionate and driven AI & Agentic AI Developer with 1 to 2 years of hands-on experience to join our rapidly growing team. In this role, you will bridge the gap between AI theory and enterprise execution. You will be responsible for designing, building, and deploying autonomous multi-agent systems, integrating complex enterprise data platforms, and developing automated workflows.

This role offers the opportunity to solve complex business challenges for companies across industry landscape. You will expand your expertise across modern data platforms and modern AI frameworks in a fast-paced environment.

Key Responsibilities:

Agentic AI Development: Design, build, and deploy autonomous AI agents and multi-agent orchestration pipelines using modern cognitive intelligence frameworks.

Workflow Automation: Develop and integrate automated enterprise workflows leveraging tools like MS Power Automate Flow to streamline complex business logic.

API & System Integration: Connect AI workflows seamlessly to external enterprise data estates, modern data warehouses, and legacy platforms using REST APIs with secure authentication management (OAuth 2.0).

Data & NLP Processing: Utilize the LangChain library to build reliable Retrieval-Augmented Generation (RAG) pipelines, semantic memory architectures, and advanced natural language processing tools.

Optimization & Monitoring: Conduct iterative performance testing, refine prompt strategies, build monitoring dashboards, and guardrail agents against security vulnerabilities like prompt injection.

Cross-Functional Collaboration: Partner with solution architects, pre-sales engineers, and client delivery teams to translate client business needs into solid technical blueprints.

Required Technical Skills

Programming: High proficiency in Python for core scripting, application development, and workflow automation.

AI Frameworks: Practical experience with LangChain, LlamaIndex, or similar multi-agent orchestration tools and tool-calling loops.

AI Low-Code & Cloud Studios: Hands-on familiarity with Microsoft Copilot Studio, Azure AI Studio, OpenAI API, or Anthropic.

Data & Infrastructure (Required Exposure):

Familiarity with data manipulation formats (JSON parsing) and vector databases.

Hands-on exposure to one or more major cloud platforms: Azure, AWS, or Google Cloud Platform (Google Cloud Platform).

Practical exposure to cloud data platforms like Databricks and Snowflake.

Integration: Understanding of RESTful API development, data schemas, and secure authentication protocols.

Qualifications & Professional Attributes

Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.

Experience: 1–2 years of professional development experience, focusing on AI, automation, cloud infrastructure, or data analytics platforms.

Problem-Solving: Strong critical-thinking abilities with the capacity to turn vague business logic into deterministic technical steps.

AI Security Awareness: Basic understanding of AI safety principles, data privacy guardrails, and secure coding practices.

Company Culture & Benefits

Our Work Culture

Innovation-Driven Environment: We operate at the cutting edge of cognitive intelligence and emerging digital technologies. Your ideas will directly impact live production applications.

Collaborative & Supportive Teams: We foster an inclusive, family-like atmosphere where peer mentorship and supportive leadership are foundational.

Continuous Learning & Upskilling: We provide robust support and dedicated training programs to help you expand your technical skills and earn industry certifications.

Focus on Impact: Enjoy a fast-paced environment that values initiative, promotes from within, and celebrates collective customer success.

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