Not specified; not specified; robust health, denta...
**
Bachelor's degree in computer science or engineering
One year experience with embedded systems ml
Proficiency in python and deep learning frameworks
**
Milwaukee Tool is seeking a Machine Learning Engineer II to join their engineering team, focusing on developing innovative machine learning solutions for power tools. The ideal candidate should have hands-on experience in machine learning, particularly with embedded systems, and possess strong problem-solving and communication skills. This role offers competitive benefits and an opportunity to work on cutting-edge technology in a dynamic environment.
**
Job Summary
You will create, develop, and validate machine learning models to power disruptive new technologies for Milwaukee products.
The role requires strong technical communication skills and fundamental project management abilities within a cross-functional engineering team.
Milwaukee Tool offers robust health insurance, a generous 401(K) savings plan, and on-site wellness and fitness centers.
Matching Summary
Match Score: 75
**
Milwaukee Tool is seeking a Machine Learning Engineer II to join their engineering team, focusing on developing innovative machine learning solutions for power tools. The ideal candidate should have hands-on experience in machine learning, particularly with embedded systems, and possess strong problem-solving and communication skills. This role offers competitive benefits and an opportunity to work on cutting-edge technology in a dynamic environment.
**
Salary
Not specified; Not specified; Robust health, dental, vision, 401(K), education assistance, on-site perks
Skills & Requirements
Must-have
Bachelor's degree in Computer Science or Engineering
One year experience with embedded systems ML
Proficiency in Python and deep learning frameworks
Experience with CNNs, transformers, or computer vision
Strong mathematical foundation in statistics and optimization
Nice-to-have
Master's degree or PhD in Machine Learning
Three years experience in embedded ML environments
Experience with time series modeling and sensor technologies
Proficiency in C or C++ for embedded development
Ability to develop robust MLOps pipelines
Key Requirements
Authorized to work in the U.S. without sponsorship
Bachelor of Science Degree in relevant engineering discipline
Demonstrated experience applying ML algorithms in non-coursework settings