Job Description:

Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.

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.

Your Role on the Team:

As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no established solution exists and deliver first-of-its-kind technologies at Milwaukee Tool. You will research, prototype, and deliver ML-driven capabilities that accelerate how we design and develop products. You will take ideas from conceptual whiteboard architectures through functional prototypes and hand-off integrations, delivering technology innovation to product and production engineering teams. This role is an individual contributor position focused on applied execution and technology demonstration, working under shared technical direction.

Why This Role is Different:

Full‑Stack ML in a Physical Domain: Work across the ML stack, from machine and sensor‑level data through model deployment on edge hardware or cloud infrastructure.
R&D Engineering First: Apply ML across Technology Readiness Levels (TRL 1–7), bringing technology innovation to life beyond model tuning. Domain knowledge in materials, mechanics, signals, or physics is central to this role.
Flexible Tools: Select and use frameworks and libraries best suited to the problem, without being constrained to a single ecosystem.
Real Impact: Deliver ML‑driven capabilities that shorten product development cycles and unlock new engineering possibilities at Milwaukee Tool.

What You’ll Do:

Research and evaluate emerging AI and ML technologies, advancing them through the Technology Readiness Level (TRL) process from concept through technology integration.
Frame engineering problems as ML problems by assessing ML value versus physics‑based or analytical approaches and defining practical success criteria.
Design, train, evaluate, and deploy ML models to solve applied science and engineering problems that expand product development capabilities.
Build end‑to‑end ML workflows spanning data acquisition, feature engineering, model development, validation, and deployment (PyTorch, TensorFlow, CUDA, Azure ML).

Job Description:

Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.

Your Role on the Team:

Why This Role is Different:

Full‑Stack ML in a Physical Domain: Work across the ML stack, from machine and sensor‑level data through model deployment on edge hardware or cloud infrastructure.
R&D Engineering First: Apply ML across Technology Readiness Levels (TRL 1–7), bringing technology innovation to life beyond model tuning. Domain knowledge in materials, mechanics, signals, or physics is central to this role.
Flexible Tools: Select and use frameworks and libraries best suited to the problem, without being constrained to a single ecosystem.
Real Impact: Deliver ML‑driven capabilities that shorten product development cycles and unlock new engineering possibilities at Milwaukee Tool.

What You’ll Do:

Research and evaluate emerging AI and ML technologies, advancing them through the Technology Readiness Level (TRL) process from concept through technology integration.
Frame engineering problems as ML problems by assessing ML value versus physics‑based or analytical approaches and defining practical success criteria.
Design, train, evaluate, and deploy ML models to solve applied science and engineering problems that expand product development capabilities.
Build end‑to‑end ML workflows spanning data acquisition, feature engineering, model development, validation, and deployment (PyTorch, TensorFlow, CUDA, Azure ML).

Applied Machine Learning Engineer II

Applied Machine Learning Engineer II

Techtronic Industries

Techtronic Industries

Benefits

Techtronic Industries