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Internship Machine Learning Engineer New Grad Jobs in Illinois

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Senior Machine Learning Engineer

Chicago, IL ยท On-site

$107K - $147K/yr

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest ...

AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Participate in identifying and assessing opportunities i.e. value of new data sources and ...

Senior AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Be comfortable presenting new concepts to technical audiences. * Collaborate with partners ...

About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ... You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer ...

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Internship Machine Learning Engineer New Grad information

What types of projects do Machine Learning Engineer interns typically work on, and how do these contribute to the overall team's goals?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What does an Internship Machine Learning Engineer New Grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Engineer New Grad, and why are they important?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Illinois? The most popular types of Machine Learning Engineer New Grad jobs in Illinois are:
What cities in Illinois are hiring for Internship Machine Learning Engineer New Grad jobs? Cities in Illinois with the most Internship Machine Learning Engineer New Grad job openings:
Infographic showing various Internship Machine Learning Engineer New Grad job openings in Illinois as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Dekalb, IL โ€ข On-site

Full-time

Posted 2 days ago


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 โ€” 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 โ€” 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 โ€” SFT, RLHF, PPO, DPO, or reward model training โ€” 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 โ€” held-out sets, benchmark design, avoiding train/eval contamination