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Machine Learning Software Engineer Intern Jobs in Champaign, IL

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Software Developer (Champaign, IL) Job Overview: We are seeking a talented and motivated Software ... Demonstrated passion for learning new technologies and applying them to solve real-world business ...

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Machine Learning Software Engineer Intern information

See Champaign, IL salary details

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How much do machine learning software engineer intern jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for machine learning software engineer intern in Champaign, IL is $25.45, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $28.89 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Champaign, IL?

The most popular types of Machine Learning Software Engineer jobs in Champaign, IL are:

What cities near Champaign, IL are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Champaign, IL with the most Machine Learning Software Engineer Intern job openings:

Software Engineer - SaaS Platform

Reconstruct

Champaign, IL • On-site

Full-time

Re-posted 8 days ago


Job description

About the job: Software Engineer SaaS Platform

How often do you get the chance to make a global impact developing the latest AI inside of the built world? Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to track the lifecycle of large capital assets like data centers, airports, hospitals, water treatment systems, etc. Come join our team with your talents as a Software Engineer SaaS Platform. Check us out at www.reconstructinc.com.

Must be able to come into the company office in Menlo Park, CA; Chicago, IL; or Champaign, IL.

Responsibilities

  • Program new features & writing tests on sprint tasks
  • Collaborate with your fellow engineers and product management team to design and deliver our 'best in class' software solution that tracks physical, capital assets with various forms of reality capture vs. their design
  • Partner with fellow engineers through pair programming, design reviews, and knowledge-sharing sessions and jointly own feature delivery from concept to production
  • Design, implement, and maintain scalable, secure, and high-performance backend and frontend components of the SaaS platform
  • Lead architecture decisions and contribute to system design documents, technical specs, and coding standards
  • Ensure infrastructure-as-code is in place for reliable, repeatable deployment in collaboration with DevOps
  • Address technical debt that may occur and proactively identify risks in the platform and assist with timely troubleshooting any complex customer issues that may occur

Skills & Qualifications

  • Bachelor's degree in Computer Science or related technical field
  • 5+ years of professional software engineering experience in a SaaS environment
  • Strong command of modern programming languages (e.g., Python, JavaScript)
  • Experience with front-end frameworks (e.g., Vue) and backend technologies (e.g., Node.js)
  • Proficiency in database design and management (SQL and NoSQL)
  • Familiarity with cloud platforms such as AWS, Azure, or OCI
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Solid grasp of CI/CD tools (e.g., GitLab CI)
  • Understanding of distributed systems, RESTful APIs, and microservices architecture
  • Excellent problem-solving skills and ability to navigate complex engineering trade-offs
  • Strong communication skills, both written and verbal & demonstrated ability to take ownership, lead technical projects, and work independently & collaboratively