ZipRecruiter

Log In

1

Internship Machine Learning Compiler Engineer Jobs in Illinois

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. As a Senior ...

next page

Showing results 1-20

People also search for

All JobsInternship Machine Learning Compiler Engineer JobsInternship Machine Learning Compiler Engineer Jobs in Illinois

Internship Machine Learning Compiler Engineer information

What is the difference between Internship Machine Learning Compiler Engineer vs Internship Software Engineer?

AspectInternship Machine Learning Compiler EngineerInternship Software Engineer
FocusDeveloping and optimizing compilers for machine learning modelsDesigning, coding, and testing software applications across various domains
SkillsMachine learning, compiler design, programming (C++, Python)Programming, algorithms, software development
Work EnvironmentResearch labs, tech companies, AI-focused teamsTech companies, startups, software firms
Industry UsageAI, machine learning, deep learning industriesBroad software development across industries

Internship Machine Learning Compiler Engineers focus on creating and optimizing compilers for machine learning models, requiring knowledge of AI and compiler design. In contrast, Internship Software Engineers work on developing general software applications across various fields. Both roles involve programming skills but differ in their specialization and industry focus.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Illinois? The most popular types of Machine Learning Compiler Engineer jobs in Illinois are:
What are popular job titles related to Internship Machine Learning Compiler Engineer jobs in Illinois? For Internship Machine Learning Compiler Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Compiler Engineer jobs in Illinois look for? The top searched job categories for Internship Machine Learning Compiler Engineer jobs in Illinois are:
What cities in Illinois are hiring for Internship Machine Learning Compiler Engineer jobs? Cities in Illinois with the most Internship Machine Learning Compiler Engineer job openings:
Internship Machine Learning Compiler Engineer jobs near you
Infographic showing various Internship Machine Learning Compiler Engineer job openings in Illinois as of May 2026, with employment types broken down into 23% Internship, and 77% Full Time. Highlights an 89% In-person, and 11% Remote job distribution.

Machine Learning Engineer

Reyes Coca-Cola Bottling

Niles, IL

$103.46K - $129.32K/yr

Full-time

Posted 19 days ago

Reyes Coca-Cola Bottling rating

8.1

Company rating: 8.1 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

67th of 378 rated food and drinks producers

Job description

Responsibilities

Position Responsibilities:

  • Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models
  • Deploy and manage ML models in production environments using containerization and orchestration technologies
  • Implement monitoring, logging, and alerting solutions to track model performance, system health, and data drift
  • Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready state
  • Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deployments
  • Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processes
  • Travel up to 5% of the time
  • Other duties as assigned

Qualifications

Required Education and Experience:

  • Bachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience

Preferred Education and Experience:

  • Master’s Degree in computer science, Data Science, or other graduate education in related quantitative fields
  • 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 development lifecycle
  • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
  • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations
  • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar
  • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar

What Reyes Coca-Cola Bottling employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom