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Phd Engineer Jobs in Wisconsin (NOW HIRING)

SpeedyApply LLC

WI · On-site

$110 - $180/hr

Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that ... Master's degree or PhD in Machine Learning or related field * At least one year of hands-on ...

New

Johnson Controls

Senior Modeling Engineer

Milwaukee, WI · On-site +1

$103K - $141K/yr

Master's or PhD in Mechanical Engineering or a related field. * 3+ years of industry experience with thermal products or systems. * Strong theoretical foundation in thermodynamics, heat transfer, and ...

Johnson Controls

Senior Modeling Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Master's or PhD in Mechanical Engineering or a related field. * 3+ years of industry experience with thermal products or systems. * Strong theoretical foundation in thermodynamics, heat transfer, and ...

Resonetics

Staff Manufacturing Engineer

Hudson, WI

The Staff Manufacturing Engineer accomplishes goals by facilitating, organizing, and managing ... PhD with 3 years' experience; or equivalent experience. * Applies extensive expertise and has ...

Resonetics

Staff Manufacturing Engineer

Hudson, WI · On-site

$95K - $155K/yr

The Staff Manufacturing Engineer accomplishes goals by facilitating, organizing, and managing ... PhD with 3 years' experience; or equivalent experience. * Applies extensive expertise and has ...

BCforward

Advanced Manufacturing Engineer

Milwaukee, WI · On-site

$40.54/hr

MS/PHD in technical concentration/field 7+ years industrial experience in Manufacturing Engineering 6-sigma DMAIC & DFSS certified Experiences in Process Intensive manufacturing Product and Process ...

Resonetics

Staff Manufacturing Engineer

Hudson, WI · On-site

The Staff Manufacturing Engineer accomplishes goals by facilitating, organizing, and managing ... PhD with 3 years' experience; or equivalent experience. * Applies extensive expertise and has ...

SwiftCruit

Senior Modeling Engineer

Milwaukee, WI · On-site

$110 - $150/hr

Master's or PhD in Mechanical Engineering or a related field. * 3+ years of industry experience with thermal products or systems. * Strong theoretical foundation in thermodynamics, heat transfer, and ...

New

Google Inc.

Software Engineer III

Madison, WI · On-site

$147 - $211/hr

Master's degree or PhD in Computer Science or related technical fields. * 2 years of experience ... As a software engineer, you will work on a specific project critical to Google's needs with ...

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Phd Engineer information

What is a PhD engineer?

A PhD Engineer is an individual who has completed a Doctor of Philosophy (PhD) degree in an engineering discipline. This advanced degree signifies deep expertise in a specialized area of engineering, often involving original research and the completion of a dissertation. PhD Engineers typically work in academia, research and development, or advanced industry roles where they contribute to scientific innovation and technological advancements. Their work often includes conducting research, publishing scholarly articles, and mentoring students or junior engineers.

What are the key skills and qualifications needed to thrive as a PhD engineer?

To thrive as a PhD Engineer, you need advanced expertise in engineering principles, research methodology, and problem-solving, typically supported by a doctoral degree in an engineering discipline. Familiarity with specialized technical tools, modeling software, data analysis platforms, and sometimes professional certifications are commonly required. Exceptional analytical thinking, innovation, and strong communication skills set top PhD Engineers apart in collaborative and research-driven environments. These competencies are vital for driving technological advancements, publishing impactful research, and leading complex engineering projects.

Is a PhD useful in engineering?

A PhD in engineering can be highly valuable for roles involving research, development, and advanced technical problem-solving. It demonstrates expertise, analytical skills, and the ability to conduct independent research, which are often required for specialized or leadership positions in engineering fields.

What jobs can I get with a Phd engineer?

A PhD in engineering qualifies individuals for advanced roles such as research scientist, university professor, R&D engineer, or technical consultant. These positions often require strong analytical skills, expertise in specialized tools or software, and may involve project management or collaboration in innovative environments.

What are the typical career advancement opportunities for a PhD engineer in an industrial setting?

PhD Engineers in industry often start in research and development roles, where they apply their advanced technical expertise to solve complex problems. Over time, they may progress into senior scientist or technical lead positions, and can also transition into management roles such as R&D manager or director. Career growth is often driven by demonstrated innovation, successful project leadership, and strong collaboration skills. Additionally, PhD Engineers frequently have opportunities to shape company strategy, mentor junior engineers, and contribute to patent portfolios.

What is the difference between Phd Engineer vs Research Scientist?

AspectPhd EngineerResearch Scientist
Required CredentialsPhD in Engineering or related fieldPhD in relevant scientific discipline
Work EnvironmentIndustry labs, R&D departments, manufacturingAcademic labs, research institutions, industry R&D
Employer & Industry UsageTech companies, manufacturing firms, engineering firmsUniversities, government agencies, private research firms
Common Search & ComparisonYesYes

Both Phd Engineers and Research Scientists hold doctoral degrees and work in research-intensive environments. Phd Engineers typically focus on applied engineering projects within industry, while Research Scientists often work on fundamental scientific research in academic or government settings. The choice depends on whether you prefer industry application or scientific exploration.

What are popular job titles related to Phd Engineer jobs in Wisconsin? For Phd Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Phd Engineer jobs in Wisconsin look for? The top searched job categories for Phd Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Phd Engineer jobs? Cities in Wisconsin with the most Phd Engineer job openings:
Phd Engineer jobs near you
Infographic showing various Phd Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer I

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 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.
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 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.
Your role on our team
As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to make power tool solutions that change the lives of our users. You will act as a technical expert in the creation and execution of these concepts into products, supporting the team through implementation, validation, and transfer to production.
This role requires excellent problem-solving skills, critical thinking, and the ability to work well under pressure in a dynamic environment. You will leverage strong technical communication skills and fundamental project management abilities to ensure clarity and alignment across teams. Additionally, you will demonstrate a strong sense of ownership for projects and tasks, with a clear understanding of how they connect to broader initiatives.
What TOOLS you'll bring with you (Required):
  • Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
  • Completed course work or specialization in Machine Learning and/or Data Science
  • Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
  • Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
  • Proficient developing and debugging code in Python
  • Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
  • Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
  • Sold mathematical foundation in statistics, linear algebra, calculus and optimization
  • Ability to travel up to 10% of the time (domestic and international).

Other TOOLS you may have (Preferred):
  • Master's degree or PhD in Machine Learning or related field
  • At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred
  • Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
  • Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
  • Experience working with modern software development tools and version control tools

We provide these great 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