5 months ago
Brookfield, WI, USAMid Level
Responsibilities
- Create, develop, and validate machine learning models.
- Explore, develop, deploy, and implement machine learning and AI solutions for Milwaukee Tool products.
- Apply machine learning algorithms and techniques including supervised and unsupervised learning, classification, regression, dimensionality reduction, and model optimization.
- Develop and debug Python code and, preferably, code in embedded environments using C or C++.
- Develop and deploy machine learning algorithms to edge environments.
- Develop robust MLOps pipelines and support efficient monitoring and scaling of ML models.
- Collaborate with highly cross-functional teams and communicate technical information effectively.
- Own projects and tasks while understanding their relationships to broader initiatives.
- Travel up to 10% domestically and internationally.
Requirements
- Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or another scientific or engineering discipline.
- Completed coursework 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 non-coursework experience applying fundamental machine learning algorithms and techniques.
- Experience with machine learning and AI methods such as CNNs, transformers, or computer vision.
- Proficiency developing and debugging Python code, including common libraries such as NumPy, pandas, scikit-learn, and Matplotlib.
- Proficiency with at least one deep learning framework such as PyTorch or TensorFlow.
- Strong foundation in statistics, linear algebra, calculus, and optimization.
- Experience with modern software development and version control tools.
- Strong problem-solving, critical-thinking, technical communication, project management, and ownership skills.
- Preferred: Master’s degree or PhD in Machine Learning or a related field.
- Preferred: At least three years of relevant hands-on machine learning experience; an advanced degree may count toward some experience.
- Preferred: Experience with time-series modeling and domains such as NLP, SLAM, forecasting, or audio/video processing.
- Preferred: Experience developing, deploying, and implementing AI or ML solutions connected to business objectives.
- Preferred: Experience with C or C++ in embedded environments.
- Preferred: Knowledge of IMU, thermistor, magnetic, and optical sensors and interfacing with microcontrollers.
- Preferred: Knowledge of embedded hardware and software architecture, microcontroller design and operation, and data collection methods.
- Preferred: Experience developing and deploying ML algorithms to edge environments and building robust MLOps pipelines.
Benefits
- Health, dental, and vision insurance plans.
- 401(k) savings plan.
- Education assistance.
- On-site wellness and fitness center.
- On-site food and coffee service.
- Ability to travel up to 10% of the time domestically and internationally.
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