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Milwaukee Electric Tool Corporation

Machine Learning Engineer I

Milwaukee Electric Tool Corporation
Brookfield, WI Full time Posted 3d ago
Ai Ml Artificial Intelligence Deep Learning Machine Learning Machine Learning Engineer Model Deployment TensorFlow
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Job Description

Benefits at a glance: Robust health, dental and vision coverage; a generous 401(k) plan; education assistance; and on-site wellness resources including a fitness center, as well as on-site food and coffee service. Based in Brookfield, Wisconsin and onsite, this role thrives within a collaborative, cross-functional culture that focuses on delivering power tool solutions that improve users' lives.

Responsibilities

  • Deploy machine learning models in innovative ways while partnering with cross-functional teams to create power tool solutions that positively impact users.
  • Serve as the technical authority for ML concepts, guiding their progression from concept to product and supporting implementation, validation, and production handoff.
  • Apply strong problem‑solving and critical thinking within a dynamic, fast-paced environment and maintain composure under pressure.
  • Utilize clear technical communication and foundational project management to ensure alignment and clarity across teams.
  • Demonstrate ownership of projects and tasks with a clear link to broader initiatives and outcomes.

Requirements

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

Technologies

  • Python
  • NumPy
  • pandas
  • scikit-learn
  • Matplotlib
  • PyTorch
  • TensorFlow
  • CNNs
  • transformers
  • C
  • C++

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