Sr Machine Learning Engineer

Techtronic Industries North America - Brookfield, WI

Full-time - Mid Level

Brookfield, WI

Management of Companies and Enterprises

About the position

At Milwaukee Tool, we believe that our people and culture are the keys to our success. As a Sr. Machine Learning Engineer, you will play a pivotal role in the creation, deployment, and validation of machine learning models that enhance our power tool solutions. You will work closely with cross-functional teams to drive the technical direction of our organization, ensuring that we deliver best-in-class machine learning-enabled products to users around the globe. Your responsibilities will include designing and developing real-time machine learning algorithms, implementing these algorithms in embedded environments, and managing the development of data collection methods and test plans. You will also be responsible for collaborating with a world-class team of engineers and project managers to deliver innovative solutions, while supporting the ongoing development of technology and product roadmaps. In this role, you will be empowered to identify engineering trends and strategic opportunities, effectively communicate with diverse team members, and drive urgency and accountability in achieving project goals. You will also evaluate emerging technologies and embrace the hands-on nature of power tools, contributing to the dynamic environment of our engineering team. Your expertise in electrical and mechanical domains will be crucial in tackling challenges and driving new processes to meet the evolving needs of our business. This position offers the opportunity to make significant contributions to the industry and be part of a team that is committed to innovation and excellence.

Responsibilities

• 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.
• 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.
• 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.

Requirements

• 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.

Nice-to-haves

• Master's degree or PhD in Machine Learning or related field.
• Experience managing a small team.
• 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.
• 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.

Benefits

• Robust health, dental and vision insurance plans.
• Generous 401 (K) savings plan.
• Education assistance.
• On-site wellness, fitness center, food, and coffee service.