Machine Learning Engineer II - Adaptive Application Algorithm

Milwaukee Tool•Brookfield, MT

9d•Onsite

About The Position

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 engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. 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. Year after year, our team continues to make significant breakthroughs in the industry. We’re just getting started. To learn more about our story click HERE. 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 Advanced Engineering & Technology team. Our Team’s Technology Obsession The Adaptive Application Algorithm development team is the trusted research and knowledge bank that accelerates and delivers technological disruptive innovation to the organization. We work with cutting-edge engineering tools and spearhead the development of industry-defining technologies. Our collaborative and supportive work environment encourages out-of-the-box thinking, challenges traditional approaches, and empowers us to explore groundbreaking ideas. We are committed to staying ahead of the curve, continuously investing in research and development, and ensuring that our engineers have access to the most advanced technology. The ideal candidate is a curious self-starter, who can drive several projects of high complexity. They are passionate about working in the ambiguous early research and development phase of engineering technologies and are eager to leverage their diverse background in Machine Learning (ML) and Artificial Intelligence (AI). They have a history of bringing fundamental technology principles to tangible applications that deliver innovation. They are hands-on, fail forward, and collaborate regularly with our cross-discipline team of various skillsets including Electrical Engineering, Cloud Architecture, Mechanical Engineering, Machine Learning Engineering, and other technical disciplines. Your extensive experience across multiple areas of Machine Learning will be invaluable in driving forward our cutting-edge projects and delivering impactful solutions.

Requirements

Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.
Effective at evaluating technology feasibility and moving through development process.
Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.
Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.
Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.
Can developed in cloud, local, or edge environments leveraging associated libraries and tools.
Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.
Familiar with different types of data collection methods or hardware in an engineering lab setting.
Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.
Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.
2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.
Excellent technical communication skills and fundamental project management abilities.
Hands on experience.

Responsibilities

Research and introduce emergent technologies into the business which empower future product development
Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.
Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
Stay ahead of industry trends related to AI, ML, and Cloud technologies – while rapidly evaluating their fit.
De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.
Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.
Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.