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Internship Full Stack Machine Learning Engineer Jobs in Illinois

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

As a Founding Senior Machine Learning Engineer, you'll work across the ML stack to power human-like voice agents that handle millions of real-time phone conversations. You'll fine-tune large language ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... a full range of benefits outlined here. This information is provided per the relevant state and ...

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... a full range of benefits outlined here. This information is provided per the relevant state and ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Guidehouse is seeking a Full Stack Engineer to support the design, development, testing, and ... Experience integrating AI, machine learning, analytics, or decision-support capabilities into user ...

New

Guidehouse is seeking a Full Stack Engineer to support the design, development, testing, and ... Experience integrating AI, machine learning, analytics, or decision-support capabilities into user ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Computer Vision Engineer As a Computer Vision Engineer, you will be part of our AI Team working on ... Hands-on experience applying machine learning and deep learning to vision data, preferably direct ...

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Comfort working across the ML stack from data pipelines to training infrastructure to serving ...

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Internship Full Stack Machine Learning Engineer information

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

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Illinois? The most popular types of Full Stack Machine Learning Engineer jobs in Illinois are:
What cities in Illinois are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities in Illinois with the most Internship Full Stack Machine Learning Engineer job openings:
Full Stack Engineer

Full-time

Medical, Retirement, PTO

Posted 24 days ago


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

109th of 537 rated colleges and universities


Job description

Department

BSD SUR - OHNS: Thirty Million Words - Tech


About the Department

The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence-based interventions designed to promote very young children's cognitive and social-emotional development. TMW Center interventions are designed to be embedded into existing health, education, and social service systems working at scale in a given community in order to meet families where they already are. The TMW Center has a robust research and development strategy that includes further development and testing of TMW interventions; harnessing technology to support behavior change, intervention engagement, and analysis; and furthering strategies to engage parents in the TMW Center's interventions across the health, early learning, and social service sectors.


Job Summary

The Full Stack Engineer performs a variety of activities relating to software support and/or development. Provides analysis, design, development, debugging, and modification of computer code for end user applications, beta general releases, web pages, and production support. Troubleshoots problems using existing procedures to find a possible solution.
The TMW Center for Early Learning + Public Health (TMW Center) develops, tests, and implements evidence-based interventions designed to promote very young children's cognitive and social-emotional development, with emerging technologies that enhance-rather than replace-the pivotal role that caregivers play in building healthy young brains. Although there is a rich body of research demonstrating the importance of the early language environment for maximizing early learning, there are very ways to assess the quality of those environments. As a result, when it comes to nurturing their children's brains, parents often feel like they are in a maze without a map.
The TMW Center has launched a wearable device and an accompanying app that uses machine learning to measure and analyze a child's language environment and provide real-time information as well as personalized feedback and guidance for enhancing that environment. This groundbreaking piece of technology gives parents and caregivers with information they need to engage in robust brain-building interactions - and helps deepen caregiver-child connection.
We're looking for a Senior Full Stack Engineer with a strong focus on backend development to join our growing engineering team. Our ideal candidate will work primarily within our Django system, with additional contributions to a .NET platform that shares a React.js front end.
In this role, our ideal candidate will collaborate closely with other engineers, and the CTO to build, enhance, and maintain scalable software systems. While front-end engineers handle most UI development, our ideal candidate will bring a full-stack perspective - understanding how backend decisions affect the user experience and the overall system architecture.

Responsibilities

  • Lead the development and maintenance of backend services and APIs in Django (primary) and .NET (secondary).

  • Collaborate with front-end engineers to design and implement effective interfaces between the backend and the React.js client.

  • Architect scalable data models, services, and integrations with third-party APIs.

  • Contribute to system architecture decisions and help guide best practices in backend and full-stack development.

  • Write clean, maintainable, and well-tested code across multiple systems.

  • Participate in code reviews, technical design sessions, and cross-functional collaboration with product and design teams.

  • Support CI/CD pipelines and ensure smooth deployments and system reliability.

  • Mentor other engineers and contribute to improving development processes.

  • Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.

  • Investigates, analyzes and resolves day-to-day technical problems using standard procedures.

  • Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.

  • Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.

  • Supports and maintains existing applications. Works with web developers and responds to requests from users.

  • Performs other related work as needed.


Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.


Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.


Certifications:

---

Preferred Qualifications

Education:

  • Advanced Degreein data science, data analytics, computer science, software engineering or related fields strongly preferred.

Experience:

  • Knowledge and skills developed through 7+ years of work experience in a related job discipline, with a strong emphasis on backend systems.

  • Proven experience building web applications with Python/Django.

  • Working knowledge of C# / .NET frameworks and services.

  • Comfortable working with React.js and modern front-end tooling.

  • Experience designing and consuming RESTful APIs; understanding of web performance and security principles.

  • Strong database skills with PostgreSQL and/or SQL Server.

  • Familiarity with cloud environments (AWS, Azure, or similar).

Preferred Competencies

  • Experience with containerization and orchestration tools (Docker, Kubernetes).

  • Exposure to TypeScript, GraphQL, or other modern web technologies.

  • Familiarity with CI/CD systems (GitHub Actions, Azure DevOps, etc.).

  • Prior experience in a startup or rapidly scaling environment.

Working Conditions

  • Office Environment.

Application Documents

  • Resume (required)

  • Cover Letter (required)


When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Information Technology


Role Impact

Individual Contributor


Scheduled Weekly Hours

40


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Pay Rate Type

Salary


FLSA Status

Exempt


Pay Range

$80,000.00 - $120,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


What University Of Chicago employees say

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Benefits

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