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Internship Junior Machine Learning Engineer Jobs in Chicago, IL

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 ...

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

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 ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Machine Learning Engineer

Chicago, IL · On-site

$62 - $100/hr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems that make LightSpeed's construction robots smarter, faster, and more autonomous. You will develop ...

Machine Learning Engineer

Chicago, IL · On-site

$62 - $100/hr

About the Role As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves ...

New

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Showing results 21-40

Internship Junior Machine Learning Engineer information

See Chicago, IL salary details

$34.5K

$74K

$112.8K

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

As of Aug 19, 2026, the average yearly pay for internship junior machine learning engineer in Chicago, IL is $73,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,400.00 per year, depending on experience, location, and employer.

What is the difference between Internship Junior Machine Learning Engineer vs Data Analyst Intern?

AspectInternship Junior Machine Learning EngineerData Analyst Intern
Required skillsBasic programming, understanding of ML algorithms, Python, data preprocessingData visualization, SQL, Excel, statistical analysis
Work environmentTech companies, AI startups, research labsBusiness, marketing, finance sectors
Common industry usageDeveloping ML models, data pipelinesInterpreting data, generating reports

Internship Junior Machine Learning Engineers focus on building and optimizing machine learning models, requiring programming and algorithm knowledge. Data Analyst Interns analyze data sets to generate insights, emphasizing visualization and statistical skills. Both roles are entry-level internships but serve different functions within data-driven projects.

What are the most commonly searched types of Junior Machine Learning Engineer jobs in Chicago, IL?

The most popular types of Junior Machine Learning Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Internship Junior Machine Learning Engineer jobs?

Cities near Chicago, IL with the most Internship Junior Machine Learning Engineer job openings:

Infographic showing various Internship Junior Machine Learning Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $73,964 per year, or $35.6 per hour.

Machine Learning Engineer

Bespoke Labs

Chicago, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

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 preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination