Machine Learning Engineer II Brookfield, WI

TTI Group; Town of Brookfield (WI); Hybrid; USD 95,000 - 140,000; Full time

Benefits offered by this job

Health insurance

401(k) savings plan

Education assistance

On-site wellness

Job summary

Milwaukee Tool is seeking a Machine Learning Engineer II to create, develop, and validate ML models for power tool solutions worldwide. You will work with cross-functional teams to deploy ML into products, demonstrating strong problem-solving, communication, and project ownership in a fast-paced environment.

You will apply ML algorithms, CNNs/transformers, and Python-based tooling with a solid math background, while traveling up to 10% as needed.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related field.
• Course work or specialization in Machine Learning and Data Science.
• At least one year of hands-on ML with embedded systems/edge computing.
• Experience applying ML algorithms (supervised/unsupervised) in non-coursework settings.
• Experience with CNNs, transformers or computer vision.
• Proficient developing & debugging Python; strong libraries (NumPy, pandas, scikit-learn, Matplotlib).
• Proficiency with PyTorch or TensorFlow.
• Strong math foundation in statistics, linear algebra, calculus.
• Experience with version control & modern software tools.
• Excellent problem-solving, ownership, and communication; travel up to 10%.

Responsibilities

• Create, develop, and validate ML models for power tool solutions.
• Collaborate with cross-functional teams to deploy ML into Milwaukee products worldwide.
• Demonstrate problem-solving, critical thinking, and ability to work under pressure.
• Communicate technically and manage project tasks and ownership.

Skills

Python programming

Deep learning frameworks

Python libraries

Edge computing

Computer vision

Machine learning algorithms

Statistics and math

Embedded systems

Version control

Communication & project mgmt

Education

Bachelor of Science in CS/CE/EE

Tools

C/C++

Embedded tools

Git

Sensor interfacing

MLOps pipelines

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 or 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.