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Internship Full Stack Machine Learning Engineer Jobs in Illinois

IMC

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

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 ...

Reyes Coca-Cola Bottling

Machine Learning Engineer

Niles, IL · On-site

$53 - $72.75/hr

Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...

Indeed

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in ...

Globant

Full Stack Engineer

Chicago, IL

We are looking for a smart and passionate Full stack engineer to join our team. * You will be ... Other AWS services not mentioned above (Hosted DBs, SQS, Machine Learning) * Terraform Additional ...

Anagh Technologies Inc

Full Stack Engineer

Chicago, IL · Hybrid

Hello, We have 3 urgent openings for " Full Stack Node Developer ". These are hybrid roles. Location: Chicago, IL (Hybrid) Duration: Long term Contract Onsite Interview Must have skills: React.js ...

New

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

UST Inc

AWS Machine Learning Engineer

Chicago, IL

$72K - $108K/yr

Role description AWS Machine Learning Engineer ML Engineer I Who We Are: Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding ...

IMC Inc

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground ...

SynergisticIT

Junior Data Engineer

Evanston, IL

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

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All JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Illinois

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 are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Illinois? For Internship Full Stack Machine Learning Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Illinois look for? The top searched job categories for Internship 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:
Internship Full Stack Machine Learning Engineer jobs near you
Applied Machine Learning Engineer

Applied Machine Learning Engineer

Strata Decision Technology

Chicago, IL • On-site, Remote

$117K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 23 days ago

Job description

How You'll Make an Impact
As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.
A Day in the Life
  • Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.
  • Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.
  • Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.
  • Partner with data scientists to design experiments and apply statistical concepts to real-world data.
  • Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our Technology Stack
Our core platform is used by more than half of the nation's leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:
  • Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC
  • Infrastructure: AWS, Snowflake, Docker, GitHub
  • Techniques & Tools:
    • Regression (with and without Bayesian priors)
    • Vector embeddings, similarity, clustering
    • Core statistics and distributions for EDA
    • Optimization methods (multi-armed bandit, mixed integer programming)
    • Causal inference and probabilistic modeling

What We're Looking For
We're seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:
  • Strong experience implementing ML models in Python.
  • Familiarity with regression, embeddings, causal inference, and optimization techniques.
  • Experience applying statistical methods to exploratory data analysis.
  • Comfort working with modern ML libraries and frameworks.

Bonus points if you have worked with:
  • NLP tasks (LLMs, spaCy, neural networks).
  • Recommender systems, latent factors, matrix factorization.
  • Graph algorithms.
  • Claude Code, Docker, and GitHub.ess computation engine.

Estimated Salary Range: $117,000-150,000Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.
Find out more about Strata benefits here.
How we work:Our preferred location for open roles is Chicago, IL. We value in-person connection and regularly host on-campus events to create meaningful opportunities for our team to build relationships and collaborate
Thinking about applying?
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click "Apply" for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com.
Here @ Strata...
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.
We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.
Our Core Values:While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers.
  • We connect with positive intent.
  • We are helpful.
  • We own it.
  • We get better every day.
  • We are humble.

Apply