Milwaukee Electric Tool Corporation | Hiring | Senior Machine Learning Engineer | Brookfield, WI | United States | BigDataKB.com

Sr Machine Learning Engineer

Job Description:

INNOVATE WITHOUT BOUNDARIES! 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 electrical engineering teams.

Our Electrical Engineering Team is responsible for giving life to the batteries, motors, and electronics that power new-to-world solutions and change the lives of our users. These critical technologies are designed in-house down to the component level. We are pushing the limits across the entire breadth of electronics and computer engineering; from firmware and controls, to embedded systems and power electronics, to machine learning and advanced sensing. We highly value and invest in electrical engineering leaders to progress our design capabilities and methodologies, a radically different approach within our industry.

Behind our doors you’ll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry. Meanwhile, you’ll have the support and resources of the fastest-growing brand in the construction industry to make it happen.

Your Role on Our Team

As a Sr. Machine Learning Engineer, you will manage the creation, deployment, and validation of machine learning models while working with highly cross-functional teams to make power tool solutions that change the lives of our users. You will identify engineering trends and drive strategies to guide the organization’s technical direction and ensure best-in-class delivery of machine learning enabled Milwaukee products around the world.

The Tools You’ll Need to Have:

Execute a lead role for the design, development, and verification of real-time machine learning algorithms for innovative power tools.
Implement machine learning algorithms in embedded environments.
Work both in Python and C/C++ environments.
Manage the development of data collection methods, test plans/procedures and test cases for training, evaluation, and verification of machine learning algorithms.
Collaborate with a world class team of cross functional engineers and project managers to deliver new-to-world solutions.
Support the ongoing development of technology/product roadmaps and the execution of those strategies.
Employ expertise from electrical and mechanical domains in tackling challenges as they arise.
Identify new innovations and strategic opportunities while considering financial impact and competitiveness.
Effectively communicate and motivate up, down, and across the organization to a diverse range of technical and non-technical team members.
Perform technical writing and presentations with proficiency.
Drive urgency and accountability, achieving key project cost and metrics.
Own and drive new processes and procedures to meet the needs of a changing business.
Evaluate and assess emerging technologies.
Embrace power tools with sawdust and sparks.
Other duties and responsibilities as assigned.

The Tools You’ll Bring with You:

Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
5 or more years of experience in developing machine learning models in the areas of embedded systems, edge computing, signal processing or a related field.
Ability to travel 10% of the time (domestic and international).

The Other Tools We’d Like to See:

Master’s degree or PhD in Machine Learning or related field.
Experience managing a small team.
Strong background in mechatronics.
Experience in electronics hardware, firmware, microcontrollers, controller design, stability, HDL, power electronics, robotics, sensor physics, and/or mechanics.
Experience in time series modelling, especially with related domains like NLP, SLAM, ML forecasting, audio/video, and/or vibrational analysis.
Proficient in Python and C/C++.
Proficiency in at least one leading framework such as Pytorch, Keras, or TensorFlow
Demonstrated experience in machine learning model development, optimization, cloud processing, data storage, pipelines, and embedded environments.
Significant knowledge of various sensor technologies and their connectivity to microcontrollers.
Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
A work ethic of being self-motivated, organized, efficient, and process oriented.