Machine Learning Engineer II

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

Machine Learning Engineer Job Description: Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.

At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams.

Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users.

Every developmental phase of these critical components happens in-house under the watch of this team.

We continue to invest in engineering resources to design and develop leadership in electronic capabilities; something unique within the industry.

And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.

Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions that change the lives of our users.

You will innovate and explore new machine learning solutions to deploy into Milwaukee products around the world while demonstrating excellent problem-solving skills, critical thinking, and the ability to thrive under pressure in a dynamic environment.

Success in this role also requires strong technical communication skills and fundamental project management abilities, along with a proactive sense of ownership for projects and tasks and an understanding of how they connect to broader initiatives.

What TOOLS you’ll bring with you:

• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or 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 (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• 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 of Tensor Flow)
• Sold mathematical foundation in statistics, linear algebra, calculus and optimization
• Experience working with modern software development tools and version control tools
• 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
• Demonstrated 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).

Other TOOLS we prefer you to have:

• 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 (an advanced degree may count toward some experience)
• Experience with time series modelling, 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
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models

We provide these great perks and benefits:

• Robust health, dental and vision insurance plans.
• Generous 401 (K) savings plan.
• Education assistance.
• On‑site wellness, fitness center, food, and coffee service.
• And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.

Milwaukee Tool, founded in 1924, is a global leader in delivering innovative solutions to the professional construction trades that increase productivity and safety.

Milwaukee® is known for their world‑leading M12™, M18™, and MX FUEL™ cordless systems, the ground‑breaking performance of their cordless innovations, safety solutions, battery‑powered outdoor power equipment, jobsite lighting and clean‑up, time‑saving accessories, and innovative hand tool and PACKOUT™ Modular Storage Products.

Milwaukee Tool is a Brookfield, Wisconsin‑based subsidiary of Techtronic Industries Co. Ltd. (TTI) (HKEx stock code: 669, ADR symbol: TTNDY).

For more information on the full line of Milwaukee® products, please call 1‑800‑SAWDUST or visit Milwaukee Tool.