Machine Learning Engineer II

Responsibilities

• Research and introduce emergent AI and Machine Learning technologies to empower future product development.
• Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
• De-risk new technologies prior to business introduction using Technology Readiness Level processes and joint developments.
• Stay ahead of industry trends in AI, ML, and Cloud technologies to evaluate their fit for the business.
• Support external partnerships, including university engagements, to accelerate technology delivery.
• Collaborate with cross-functional subject matter experts in mechanical, electrical, and design engineering.

Requirements

• Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or a related field.
• 2+ years of Machine Learning Engineering experience in Research and Development (R&D), Advanced Engineering, or a Lab environment.
• Proven track record of developing and deploying impactful AI or ML solutions.
• Demonstrated experience with fundamental ML techniques such as supervised, unsupervised, regression, or dimensionality reduction.
• Knowledge of advanced methods including CNNs, transformers, NLP, or Computer Vision.
• Ability to develop robust MLOps pipelines for efficient deployment, monitoring, and scaling.
• Proficiency in Data Engineering, including Data Collection, ETL, and data architecture principles.
• Experience developing in cloud, local, or edge environments.

Benefits

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

About the Company

Milwaukee Tool, founded in 1924, is a global leader in delivering innovative solutions to the professional construction trades. Known for world-leading cordless systems and advanced battery technology, the company is dedicated to delivering a steady stream of trade-specific solutions that increase productivity and safety.