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Remote Internship Machine Learning Engineer Jobs in Chicago, IL

Remote Data Engineer

Oak Brook, IL · Remote

$115.70K - $138.90K/yr

Sr. Data Engineer This role is responsible for providing technical expertise and leadership to ... Machine Learning Operationalization (MLOps) proficiency. * Proficiency with streaming design ...

Sr Engineering Manager

Chicago, IL · On-site +1

$205K - $240K/yr

Define and execute technical strategy for applying machine learning and foundational models to map ... Familiarity with technologies related to perception systems, remote sensing, or geospatial data ...

Sr Engineering Manager

Chicago, IL · On-site +1

$205K - $240K/yr

Define and execute technical strategy for applying machine learning and foundational models to map ... Familiarity with technologies related to perception systems, remote sensing, or geospatial data ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255.80K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255.80K/yr

This is a remote position ; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

Sr. Staff AI/ML Engineer

Chicago, IL · On-site +1

$220K - $255.80K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Lead the design, implementation, and production deployment of machine learning and AI-driven ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

DevOps Engineer

Chicago, IL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Remote Internship Machine Learning Engineer information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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

As of Jun 1, 2026, the average yearly pay for remote internship machine learning engineer in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 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 Chicago, IL? For Remote Internship Machine Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Internship Machine Learning Engineer jobs in Chicago, IL look for? The top searched job categories for Remote Internship Machine Learning Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Internship Machine Learning Engineer jobs? Cities near Chicago, IL with the most Remote Internship Machine Learning Engineer job openings:
Infographic showing various Remote Internship Machine Learning Engineer job openings in Chicago, IL as of May 2026, with employment types broken down into 58% Full Time, 38% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Aurora, IL • Remote

Other

Posted 9 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.