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Internship Code Review Jobs in Michigan (NOW HIRING)

Socket.dev

Junior AI/ML Engineer

Auburn Hills, MI · On-site

... code review, and structured mentoring. AI & ML Development: * Implement ML models and components ... Internship or project experience deploying ML in real systems * Exposure to cloud-based data or ML ...

Danaher

Software Engineer Internships

Grand Rapids, MI · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

Software Engineer Internships

Allendale, MI

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

Software Engineer Internships

Detroit, MI

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

Software Engineer Internships

Flint, MI

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

Software Engineer Internships

Warren, MI

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

Danaher

Software Engineer Internships

Kalamazoo, MI · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Conducting peer code reviews and incorporating feedback * Producing documentation to support ...

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Internship Code Review information

What is an internship code review?

An Internship Code Review is a process where the code written by interns is systematically examined by more experienced developers or mentors. The goal is to ensure code quality, provide constructive feedback, and help interns learn best practices in software development. Code reviews help catch bugs, improve maintainability, and encourage collaboration within teams. For interns, participating in code reviews is a valuable opportunity to grow technical and communication skills in a real-world setting.

What are the key skills and qualifications needed to thrive as an internship code reviewer?

To thrive as an Internship Code Reviewer, you need a solid understanding of programming fundamentals, version control systems like Git, and experience with relevant coding languages, often supported by coursework or personal projects. Familiarity with code review platforms such as GitHub or GitLab and knowledge of testing frameworks are typically essential. Attention to detail, effective communication, and a collaborative attitude are standout soft skills in this role. These skills and qualities ensure high-quality, maintainable code and foster learning and growth within development teams.

What types of feedback can I expect to give and receive during an internship code review role?

As an intern participating in code reviews, you will both give and receive constructive feedback on code quality, readability, and adherence to best practices. Expect to learn how to identify potential bugs, suggest improvements, and discuss design decisions with your peers and mentors. You'll also receive guidance on your own code submissions, helping you develop technical skills and a collaborative mindset. This process is highly interactive and designed to foster growth, communication, and teamwork within a supportive environment.

What is the difference between Internship Code Review vs Software Developer?

AspectInternship Code ReviewSoftware Developer
Required CredentialsBasic programming knowledge, possibly some coursework or certificationsBachelor's degree in Computer Science or related field, relevant certifications
Work EnvironmentMentored, entry-level, team-basedFull-time, collaborative, project-driven
Employer & Industry UsageInternship programs in tech companies, startups, or software firmsFull-time roles in similar industries

Internship Code Review positions are typically entry-level, focusing on learning and assisting with code assessments under supervision. Software Developers are full-time professionals responsible for designing, coding, and maintaining software. While both roles involve coding, internships are more educational, whereas developers have ongoing project responsibilities.

What are the most commonly searched types of Code Review jobs in Michigan?

The most popular types of Code Review jobs in Michigan are:

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For Internship Code Review jobs in Michigan, the most frequently searched job titles are:

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Internship Code Review jobs near you

Junior AI/ML Engineer

Auburn Hills, MI • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 7 days ago

Job description

Role Summary:

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML solutions under the guidance of senior engineers. This role is engineering-first, applying data science and machine learning as tools within well-engineered software systems.

Engineers at this level focus on well-defined implementation tasks within a larger solution, learning the full lifecycle — design, development, validation, and production handoff — through pairing, code review, and structured mentoring.

AI & ML Development:

  • Implement ML models and components against established designs, using structured, time-series, and unstructured data

  • Run and document model validation, evaluation, and error analysis under senior guidance

  • Build familiarity with the team's AI/ML techniques and how they are applied to engineering, quality, and product use cases

Software & Systems Engineering:

  • Contribute production-quality code to AI systems, including:

  • Data pipelines and feature engineering

  • Model training and inference services

  • Components of agentic solutions combining LLM and other systems

  • Write clean, maintainable, and testable code (primarily Python), responding constructively to code review

  • Use the team's shared AI/ML components and engineering frameworks

Delivery & Execution:

  • Deliver well-scoped implementation tasks reliably, escalating blockers early

  • Participate in requirement clarification and solution iteration with the team

  • Support preparation of solutions for operationalization in partnership with MLOps teams

Growth Expectations:

  • Progress toward independent ownership of implementation tasks end-to-end

  • Develop breadth across data, modeling, and software concerns

  • Actively seek and apply feedback from senior engineers

Qualifications Basic Qualifications:
  • Bachelor's degree in engineering, computer science, applied mathematics, or a related field
  • A minimum of 1 year of experience

  • Solid software engineering fundamentals

  • Exposure to machine learning through coursework, internships, or projects

  • Proficiency in Python; familiarity with common ML libraries

  • Willingness to work across data, modeling, and software concerns

Preferred Qualifications:

  • Internship or project experience deploying ML in real systems

  • Exposure to cloud-based data or ML platforms

  • Interest in LLM-based and agentic solutions

  • Familiarity with software delivery practices (version control, CI, testing)

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