Applied ML Co-Op: Real-World Experiments

Rust-Oleum; Vernon Hills (IL); Hybrid; USD 39,000 - 41,000; Part time

Job summary

Rust-Oleum, Vernon Hills, IL, seeks a Machine Learning & Applied AI Co-Op Student to join the Automation & Emerging Technology team. You’ll own real-world ML experiments in a startup-like environment within a large enterprise, focusing on applied ML, data-driven experimentation, and model evaluation.

The role emphasizes problem framing, experimentation, measurable impact, and collaboration with data science and engineering teams.

Qualifications

• Currently enrolled in a Bachelor’s, Master’s, or PhD-track program.
• Ability to work on-site in Vernon Hills, IL at least three days per week.
• Strong proficiency in Python.
• Solid understanding of core machine learning concepts (supervised/unsupervised, feature engineering, evaluation).
• Experience with ML libraries (pandas, NumPy, scikit-learn) or similar.
• Experience with AI tools and end-to-end ML project experience.

Responsibilities

• Lead machine learning experiments end-to-end, including problem definition, data exploration, feature engineering, model prototyping, training and evaluation.
• Develop and evaluate ML models using enterprise datasets for use cases such as prediction, classification, pattern detection, and decision support.
• Apply experimental design and evaluation techniques (train/validation/test, baselines, error analysis).
• Use Databricks for data analysis, experimentation, and scalable ML workflows.
• Define and track success metrics (model accuracy, precision/recall, latency, scalability, business relevance).
• Explore applied AI techniques including Generative AI and LLMs where appropriate; document experiments and present findings to stakeholders.

Skills

Python

Databricks

Pandas

NumPy

scikit-learn

Copilot GitHub

Education

Bachelor's/Master's/PhD-track program in CS/DS/ML

Tools

Databricks

Copilot

Azure

Job description

Rust-Oleum, Vernon Hills, IL, seeks a Machine Learning & Applied AI Co-Op Student to join the Automation & Emerging Technology team. You’ll own real-world ML experiments in a startup-like environment within a large enterprise, focusing on applied ML, data-driven experimentation, and model evaluation.

The role emphasizes problem framing, experimentation, measurable impact, and collaboration with data science and engineering teams.