About the position
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 provide technical solutions on our Machine Learning Team. Our Machine Learning team is responsible for supporting our continued growth. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support 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.
Responsibilities
- Design, develop, implement, and deploy machine learning algorithms for power tools to tackle the most challenging problems in the industry.
- Translate requirements from non-technical stakeholders into well-defined technical problems with clear mathematical language and quantifiable performance metrics.
- Develop data collection methods, test plans/procedures and test cases for training, evaluation, and verification of machine learning algorithms.
- Communicate effectively through all levels of the organization to a diverse range of technical and non-technical team members.
- Other Duties as assigned.
Requirements
- Masters/PhD in CS, CE, EE, or related field; exceptions allowed for candidates with relevant research experience or full-time work experience.
- At least one year of experience in an applied Machine Learning role outside of academia.
- Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.) and at least one deep learning framework (PyTorch or TensorFlow).
- In-depth theoretical understanding of both classic ML and DL models.
- Solid mathematical foundation in Statistics, Linear Algebra, Calculus, Optimization.
- Experience applying ML in non-coursework settings.
Nice-to-haves
- Experience with other program languages, C/C++ preferred.
- Experience with electronics and embedded system.
- Familiarity with Computer Science principles (data structures, algorithms, etc.).
- Familiarity with control systems and system dynamics.
- Experience working with time-series signal/data that is not NLP.
- Experience working with computer vision.
- Relevant publications.
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.
