Embedded ML Engineer II - Edge AI for Power Tools

TECHTRONIC CORDLESS GP; United States; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health, dental and vision insurance

Generous 401(k) plan

Education assistance

On-site wellness & facilities

Job summary

Milwaukee Tool is seeking a Machine Learning Engineer II to create, develop and validate ML models for power tool solutions. You will work with cross-functional teams to deploy ML solutions worldwide and improve product capabilities.

The role emphasizes problem-solving, ownership, and strong technical communication, with opportunities to apply ML in firmware and edge computing. Requires a BS in CS/CE/EE, ML coursework, 1+ year hands-on ML, Python and ML libraries, and willingness to travel up to

Qualifications

• Bachelor’s degree in a relevant engineering field with ML coursework.
• At least 1 year of hands-on ML work with embedded systems or edge computing.
• Experience applying ML algorithms in non-academic settings.
• Strong Python and ML libraries experience; knowledge of deep learning frameworks.
• Travel up to 10% (domestic/international).

Responsibilities

• Create, develop and validate ML models for power tool solutions.
• Collaborate with cross-functional teams to deploy ML solutions globally.
• Demonstrate problem-solving, critical thinking and project ownership.

Skills

Strong problem-solving

Critical thinking

Technical communication

Project ownership

Cross-functional collaboration

Travel readiness

Education

Bachelor of Science in Computer Science/Computer Engineering/Electrical Engineering or related

Master’s degree or PhD in ML or related field preferred

Tools

Python

NumPy

pandas

scikit-learn

Matplotlib

PyTorch

TensorFlow

C/C++

Embedded systems

Edge computing

Signal processing

Git/version control

IMU sensors

Microcontrollers

MLOps pipelines

Job description

Milwaukee Tool is seeking a Machine Learning Engineer II to create, develop and validate ML models for power tool solutions. You will work with cross-functional teams to deploy ML solutions worldwide and improve product capabilities.

The role emphasizes problem-solving, ownership, and strong technical communication, with opportunities to apply ML in firmware and edge computing. Requires a BS in CS/CE/EE, ML coursework, 1+ year hands-on ML, Python and ML libraries, and willingness to travel up to