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Applied Computing Jobs in Wisconsin (NOW HIRING)

ConfigUSA

C++ Engineer

Waukesha, WI · On-site

... applied in a production software environment. Experience with Linux based programming on X86 ... Parallel computing concepts and tools - MPI, OpenMP Experience for 5+ years in designing and ...

Motorola

... applied cryptography, and application security. * Expert knowledge of Cloud Computing, FedRAMP, FISMA, NIST/DoD RMF, and NIST SP 800-series publications. * Intermediate experience with testing and ...

Infleqtion

Sr Software Engineer

Madison, WI

$106K - $145K/yr

... computing applications. We are seeking self-motivated, energetic individuals with exceptional ... Bachelor's degree in Computer Science, Applied Mathematics, Physics or related field and a minimum ...

Infleqtion

Sr Software Engineer

Madison, WI · On-site

$106K - $145K/yr

... computing applications. We are seeking self-motivated, energetic individuals with exceptional ... Bachelor's degree in Computer Science, Applied Mathematics, Physics or related field and a minimum ...

ATI

Data Scientist

Cudahy, WI · On-site

Experience in applied machine learning. Preferred Qualifications (in addition to Basic ... Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required. * If you ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series ... Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.

Foxconn

Forklift Operator

Sturtevant, WI

$20 - $22/hr

... computing, industrial internet, smart home, 5G, and network communication equipment. Fueled by ... Our Hiring Process Stage 1: Applied Stage 2: Review Stage 3: Interview Stage 4: Hired Not quite ...

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Applied Computing information

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$21.2K

$109.8K

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How much do applied computing jobs pay per year?

As of May 30, 2026, the average yearly pay for applied computing in Wisconsin is $109,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $141,300.00 per year, depending on experience, location, and employer.

What is an Applied Computing job?

An Applied Computing job involves using computing principles and technologies to solve real-world problems in various industries. Professionals in this field apply software development, data analysis, cybersecurity, and IT management skills to improve business operations and decision-making. These roles can be found in sectors like healthcare, finance, manufacturing, and government, where technology is integrated to optimize processes and drive innovation.

What are the key skills and qualifications needed to thrive in the Applied Computing position, and why are they important?

To thrive in Applied Computing, you need strong analytical abilities, problem-solving skills, and a solid background in computer science or related disciplines, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages, databases, cloud platforms, and certifications like CompTIA, AWS, or Microsoft Azure is highly beneficial. Strong teamwork, effective communication, and project management skills help you excel in multi-disciplinary settings. These qualities enable professionals to design and implement effective technical solutions to complex, real-world problems across industries.

What types of projects or challenges might I encounter in an Applied Computing role?

In an Applied Computing position, you may work on diverse projects such as developing custom software applications, optimizing business processes with automation, analyzing data for actionable insights, or integrating new technology solutions within existing systems. Challenges often include translating organizational needs into technical requirements, staying current with rapidly evolving technologies, and collaborating closely with stakeholders across departments. You’ll typically collaborate with IT teams, subject matter experts, and sometimes clients to ensure solutions are practical and user-centered. These varied responsibilities keep the role dynamic and provide continual opportunities to expand your technical and professional expertise.
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Applied Computing jobs near you
Infographic showing various Applied Computing job openings in Wisconsin as of May 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $109,792 per year, or $52.8 per hour.

Applied Machine Learning Engineer II - Advanced Engineering & Technology

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

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).
  • Deploy ML enabled systems on edge hardware and cloud infrastructure to support engineering decisions.
  • Prepare technology transfer packages by documenting architecture decisions, known limitations, data requirements, and deployment specifications to enable technology adoption.
  • Collaborate with cross-functional teams to deliver ML solutions aligned with engineering needs.
  • Identify and assess emerging technologies via literature, universities, conferences, and vendor engagement.

What You'll Bring:
Required
  • BS in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, Computer Science, Data Science, or related engineering discipline, with advanced coursework or experience in Machine Learning.
  • +3 or more years of experience applying ML to physical-world engineering or scientific problems (materials, mechanical systems, manufacturing, sensor systems, chemical processes, or similar).
  • Demonstrated experience designing, training, evaluating, and deploying ML models on real-world problems.
  • Strong working knowledge of Python and the scientific computing ecosystem (NumPy, SciPy, Pandas, scikit-learn), with working knowledge of SQL.
  • Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow) and familiarity with cloud ML platforms (Azure ML, AWS SageMaker, or equivalent).
  • Strong mathematical foundations in linear algebra, probability, statistics, and optimization, with the ability to reason about loss functions, convergence behavior, and model assumptions.
  • Demonstrated ability to formulate ambiguous engineering or scientific problems into well-defined ML problems with clear objectives and evaluation criteria.
  • Curiosity-driven approach to learning new technologies and methods, with emphasis on applying machine learning to real-world scientific and engineering challenges.
  • Ability to work across a diverse range of data types.
  • Hands-on approach to collaboration and evaluation of technologies.
  • Ability to thrive in an ambiguous and fast-paced environment, where problem definitions evolve.
  • Ability to travel 10% of the time (domestic and international).

Preferred
  • Master's Degree or PhD in relevant field.
  • Familiarity with physics-informed ML approaches, embedding physical constraints in model architecture, or surrogate modeling for simulation acceleration.
  • Experience with computer vision for engineering applications.
  • Exposure to edge deployment: model optimization containerized deployment to industrial hardware.
  • Experience with design of experiments (DOE), uncertainty quantification, or Bayesian optimization.
  • Familiarity with version control, experiment tracking, and reproducible research practices

Working Environment
  • In-Person, Office Environment, R&D Engineering Lab

Our Perks and 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.

Milwaukee Tool is an equal opportunity employer.

Apply