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Remote Internship Machine Learning Engineer Jobs in Oak Brook, IL

YO AI Labs

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Shure

Digital Signal Processing Intern

Niles, IL · On-site +1

$23 - $43/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

Shure

Digital Signal Processing Intern

Niles, IL · On-site +1

$23 - $43/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

Shure

Digital Signal Processing Intern

Niles, IL · On-site +1

$23 - $43/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

New

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Design, implement, and optimize advanced machine learning and optimization models to address ...

Clerkie

Software Engineer Internship

Chicago, IL · On-site +1

$80/hr

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... About the internship As the newest addition to Team Clerkie, this Software Engineer Intern will ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsRemote Internship Machine Learning Engineer JobsRemote Internship Machine Learning Engineer Jobs in Oak Brook, IL

Remote Internship Machine Learning Engineer information

See Oak Brook, IL salary details

$25.7K

$43K

$88.8K

How much do remote internship machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote internship machine learning engineer in Oak Brook, IL is $42,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

What are popular job titles related to Remote Internship Machine Learning Engineer jobs in Oak Brook, IL?

For Remote Internship Machine Learning Engineer jobs in Oak Brook, IL, the most frequently searched job titles are:

Remote Internship Machine Learning Engineer jobs near you
Infographic showing various Remote Internship Machine Learning Engineer job openings in Oak Brook, IL as of June 2026, with employment types broken down into 71% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $42,977 per year, or $20.7 per hour.

AI/ML Engineer - Remote

YO AI Labs

Chicago, IL • Remote

$200 - $350/hr

Full-time

Posted 8 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.