Applied Machine Learning Engineer Ii - Advanced Engineering & Technology

Milwaukee Tool

In-person, office environment
3+ years ml in physical-world engineering
Python and scientific computing ecosystem
Deep learning frameworks pytorch or tensorflow
Milwaukee Tool is seeking an Applied Machine Learning Engineer II to join their Advanced Engineering & Technology team. The role involves leveraging machine learning to develop innovative technologies within the power tool accessories sector, focusing on real-world engineering problems and collaborating with cross-functional teams

Job Summary

  • This role involves researching, prototyping, and delivering first-of-its-kind ML-driven capabilities that accelerate product design and development at Milwaukee Tool.
  • Candidates will work across the full ML stack from sensor-level data through model deployment on edge hardware or cloud infrastructure to solve ambiguous engineering problems.
  • The position offers access to unlimited resources within a culture that values people and innovation to create disruptive new technologies in the power tool industry.

Matching Summary

Match Score: 85

Milwaukee Tool is seeking an Applied Machine Learning Engineer II to join their Advanced Engineering & Technology team. The role involves leveraging machine learning to develop innovative technologies within the power tool accessories sector, focusing on real-world engineering problems and collaborating with cross-functional teams.

Skills & Requirements

Must-have

  • 3+ years ML in physical-world engineering
  • Python and scientific computing ecosystem
  • Deep learning frameworks PyTorch or TensorFlow
  • Cloud ML platforms Azure ML or AWS SageMaker
  • Edge hardware and cloud infrastructure deployment

Nice-to-have

  • Physics-informed machine learning approaches
  • Computer vision for engineering applications
  • Model optimization for industrial hardware
  • Design of experiments and uncertainty quantification
  • Curiosity-driven approach to new technologies

Key Requirements

  • BS in Engineering, CS, Physics, or related field
  • US work authorization required; no sponsorship available
  • Advanced coursework or experience in Machine Learning
  • Strong mathematical foundations in linear algebra and statistics

Work Rights

Must be authorized to work in the U.S.

Tailored Resume

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