Machine Learning Engineer I

In Brookfield, Wisconsin, Milwaukee Electric Tool Corporation is seeking a hands-on Machine Learning Engineer I to help bring ML capabilities into our power tool products. This on-site role collaborates with cross-functional teams to deploy models, validate results, and shepherd concepts from development into production, serving as a technical expert on ML concepts. It requires strong problem-solving, clear technical communication, and a proactive ownership mindset aligned with broader company initiatives.

Responsibilities

• Deploy machine learning models in inventive ways while collaborating with highly cross-functional teams to create power tool solutions that impact users.
• Serve as the technical expert for turning ML concepts into tangible products, supporting implementation, validation, and transfer to production.
• Apply excellent problem-solving and critical thinking skills to operate effectively in a dynamic, high-pressure environment.
• Leverage strong technical communication and fundamental project management abilities to ensure alignment and clarity across teams.
• Demonstrate a strong sense of ownership for projects and tasks, with awareness of how they connect to broader initiatives.

Requirements

• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or another scientific or engineering discipline.
• Completed coursework or specialization in Machine Learning and/or Data Science.
• Demonstrated experience applying fundamental machine learning algorithms and techniques in practical settings (unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization).
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision.
• Proficient developing and debugging code in Python.
• Proficiency in Python with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
• Proficiency with at least one deep learning framework (e.g. PyTorch or Tensor Flow).
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization.
• Ability to travel up to 10% of the time (domestic and international).

Technologies

• Python
• NumPy
• pandas
• scikit-learn
• Matplotlib
• PyTorch
• Tensor Flow
• CNNS
• transformers
• C
• C++

Benefits

• Robust health, dental and vision insurance plans.
• Generous 401 (K) savings plan.
• Education assistance.
• On-site wellness, fitness center, food, and coffee service.