Machine Learning Engineer I

• 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, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to make power tool solutions that change the lives of our users.

You will act as a technical expert in the creation and execution of these concepts into products, supporting the team through implementation, validation, and transfer to production. This role requires excellent problem-solving skills, critical thinking, and the ability to work well under pressure in a dynamic environment. You will leverage strong technical communication skills and fundamental project management abilities to ensure clarity and alignment across teams. Additionally, you will demonstrate a strong sense of ownership for projects and tasks, with a clear understanding of how they connect to broader initiatives.

• What TOOLS you'll bring with you (Required):
• + 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 + 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 + Ability to travel up to 10% of the time (domestic and international).

• Other TOOLS you may have (Preferred):
• + Master's degree or PhD in Machine Learning or related field + 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 are preferred + Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing + Proficient developing and debugging code in an embedded environment in a programming language such as C or C++ Experience working with modern software development tools and version control tools •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 (https://www.milwaukeetool.jobs/Benefits) . _Milwaukee Tool is an equal opportunity employer._Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled We endeavor to make this site accessible to any and all users. If you need to contact us regarding technical accessibility of our website call 443-391-1542. This number is only for technical accessibility issues, not general employment or job posting inquiries.