1

Internship Full Stack Machine Learning Engineer Jobs in Illinois

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end ... For additional information, please see our full Thoughtworks AI Policy for Recruitment. EEO ...

Senior Machine Learning Engineer (Nova)

Chicago, IL · On-site

$107K - $147K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... full builds. • Ensure secure, robust handling of data used in ML workflows and retrieval ...

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 ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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 ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

next page

Showing results 1-20

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:
Assistant Vice President, Full Stack Engineer, Business Technology Group

Assistant Vice President, Full Stack Engineer, Business Technology Group

Harrison Street

Chicago, IL • On-site

Full-time

Re-posted 17 days ago


Job description

Harrison Street Asset Management ("HSAM") is a leading global alternative investment management firm focused on real estate, infrastructure, and credit strategies across North America and Europe. Headquartered in Chicago, Toronto, and London with offices across North America, Europe, Asia and the Middle East, the firm has over $108 billion in assets under management on behalf of institutional investors and registered investment advisors globally.

Founded on a culture of innovation, HSAM is an early mover in alternative real estate and mid-market infrastructure. Today, the firm’s global team, consisting of more than 520 professionals, is committed to creating long-term value through deep sector expertise and forward-thinking strategies.

Under direction of the Head of Data Analytics & Architecture, Global, the successful Full Stack Engineer candidate will be responsible for designing, building, and maintaining complete web applications, managing both front-end user interfaces and back-end server logic, databases, and APIs. They work throughout the entire software development lifecycle, from conception to deployment, ensuring applications are functional, responsive, and secure, while collaborating with teams to deliver seamless user experiences.

The Full Stack Engineer will also be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making purposes. The ideal candidate is an experienced data pipeline builder, business intelligence report builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The successful candidate must be self-directed and comfortable supporting the Web Applications, and data needs of multiple teams and systems.

Responsibilities:

60%     Full Stack Software Development

  • Front-End Development: Designing and implementing interactive user interfaces using HTML, CSS, TypeScript, JavaScript, Vite, and frameworks like React, Angular or Vue.
  • Back-End Development: Building server-side logic, managing databases, and creating RESTful API’s and integrations using ASP.Net, C#, Python, Java, PHP, or Node.js.
  • Integrating and consolidating data from diverse sources, such as databases, APIs, and streaming platforms, ensuring data quality, consistency, and integrity.
  • System Architecture: Developing and maintaining the structure of applications, ensuring scalability, security, and performance.
  • End-to-end Delivery: Troubleshooting, testing, and debugging applications to optimize speed and functionality. Managing the deployment of web applications to servers and maintaining them post-launch.
  • Collaboration: Work closely with data engineers, business liaisons, and line of business stakeholders to translate user requirements into functional features.
  • Partners with Technology Infrastructure and support Operations teams to identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Understands how HSAM’s data platform integrates within the overall technical architecture.

20%     Data Engineering, Machine Learning and Data Agents

  • Design and build data pipelines using Microsoft Fabric or similar tools.
  • Implement data ingestion pipelines from API’s, databases, and other external sources.
  • Build, train and deploy Machine Learning models using Microsoft Fabric Notebooks.
  • Develop AI-powered data agents using Microsoft Fabric capabilities.
  • Integrate LLM’s, external data, web data with enterprise data platform data.
  • Experience in data analysis and interpretation to drive actionable insights.

10%     Data Visualization

  • Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.
  • Develop and Implements design principles in Tableau and/or Power BI.
  • Understands the analytic needs of HSAM and translates them into meaningful and actionable data visualizations.
  • Perform data analysis and validations.

5%       Cybersecurity Collaboration

  • Collaborate with the Cybersecurity team to design, develop, and maintain web applications that adhere to organizational security standards, secure coding practices, and compliance requirements.
  • Work jointly with Cybersecurity teams on authentication, authorization, identity management, and secure API integrations.

5%       Miscellaneous

  • Stay current on emerging technologies for App development, data engineering, cloud services, security practices, and AI platform capabilities.
  • Document system configurations, platform architectures, processes, and operational procedures.
  • Participate in training, workshops, and internal knowledge-sharing sessions.
  • Perform other duties as assigned to support evolving business and technology needs.
Requirements:
  • 5+ years of experience in a Full Stack Engineer role.
  • Bachelor’s Degree in technical discipline such as Computer Science, Information Technology, Data Science or related field.
  • Proficient in JavaScript, TypeScript, HTML for building responsive web applications.
  • Strong experience in modern front-end frameworks such as React and Angular.
  • Experience of responsive design, UI/UX principles, and cross-browser compatibility.
  • Strong knowledge of server-side programming such as ASP.Net, Node.js, and Python.
  • Experience working with relational databases such as Microsoft SQL Server, and experience designing databases schemas, writing optimized queries in SQL, and managing data models.
  • Experience building and optimizing Azure data Factory pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience with version control, CI/CD pipelines and deployment automation using tools like GitHub.
  • Experience deploying and delivering end-to-end web applications in Microsoft Azure platform.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Confident in decision making and the ability to explain processes or choices as needed.
  • Ability to complete milestones and work toward multiple deadlines simultaneously.
  • Proficient in data warehousing solutions and ETL tools.
  • Proficient in database design, data definition, data dictionary, and related concepts.
  • Understanding of Machine Learning concepts
  • Must be able to evaluate technical problems and determine solutions.
  • Must have strong written and verbal communication skills.
  • Must be able to follow and apply established security policies, procedures, and standards.
  • Must be able to read and understand technical manuals and vendor documentation.
  • Must be able to manage multiple technical workstreams independently.
  • Must be able to maintain professional and effective working relations with supervisors and co-workers.
  • Must be able to work flexible hours, including weekends and evenings.
  • Must be able to learn new skills and technologies.
For Illinois Only: The expected base salary range for this position is $125,000 to $200,000. Actual salaries may vary based on a number of factors, including skills, experience, and qualifications.
 
In addition to base salary, total compensation at Harrison Street includes a generous discretionary bonus, along with a comprehensive range of benefits — including medical, financial, and wellness programs — designed to support our employees both professionally and personally.
Harrison Street is proud to be an equal opportunity employer committed to diversity, equity and inclusion in the workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability, genetic information or any other protected class under federal, state, or local law. 
 
If you require accessibility assistance applying for open positions, please contact our ADA Accessible Line at (312) 920-0500 or careers@harrisonst.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 
 
Harrison Street does not accept unsolicited headhunter and agency resumes. Harrison Street will not pay fees to any third-party agency or company that does not have a signed agreement with Harrison Street.