Machine Learning Engineer II

Job Summary

Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.

About the Role

The Engineering Team at Milwaukee Tool is responsible for designing and developing critical components like batteries, motors, and electronics that power innovative solutions for users worldwide. This team works closely with cross-functional teams to bring these solutions to life.

Responsibilities

• Create, develop, and validate machine learning models
• Deploy new machine learning solutions into Milwaukee products globally
• Work with highly cross-functional teams to innovate and solve complex problems
• Show excellent problem-solving skills, critical thinking, and the ability to thrive under pressure in a dynamic environment
• Develop and debug code in Python and proficient with deep learning frameworks
• Develop and deploy machine learning algorithms to edge environments
• Ensure efficient deployment, monitoring, and scaling of ML models

Requirements

• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific/engineering discipline
• Completed course work or specialization in Machine Learning and/or Data Science
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting
• 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)
• Sold mathematical foundation in statistics, linear algebra, calculus and optimization
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment
• Excellent technical communication skills and fundamental project management abilities
• Strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international)

Qualifications

• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
• Experience with time series modeling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Experience developing and deploying machine learning algorithms to edge environments
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience with modern software development tools and version control tools

Skills

• Python
• Deep learning frameworks (e.g. PyTorch, Tensor Flow)
• Embedded systems architecture (HW & SW)
• Microcontroller design and operation
• Various sensor technologies (e.g. IMU, thermistors, magnetic and optical)
• Time series modeling
• NLP, SLAM, forecasting, audio/video processing

Benefits

• Robust health, dental, and vision insurance plans
• Generous 401(k) savings plan
• Education assistance
• On-site wellness, fitness center, food, and coffee service
• Many more benefits, check out our benefits site HERE