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Phd Engineer Jobs in Wisconsin (NOW HIRING)

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 ...

Johnson Controls, Inc.

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 ...

Catalent, Inc.

Senior Engineer - Engineering, Equipment

Madison, WI · On-site

$105K - $144K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Senior Engineer - Engineering, Equipment Position Summary * Shift: Monday - Friday 8:00am - 5:00pm ... PhD with 0-2 years of experience * Strong technical knowledge and hands-on experience in GMP ...

Koch Industries

Senior Papermaking Engineer

Neenah, WI · On-site

$105K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced degree (Master's or PhD) in papermaking, mechanical engineering, chemical engineering, or a related field. * Hands-on experience in industrial/manufacturing settings with pilot and ...

New

Milwaukee Tool

Machine Learning Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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 is preferred * At least three years of ...

Milwaukee Tool

Machine Learning Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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 is preferred * At least three years of ...

Firefly Aerospace

WI · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • PTO

Advanced degree (MS or PhD) in engineering discipline. * Demonstrated hands‑on experience with hardware; including fluid test hardware and instrumentation. * Familiarity with in‑space propulsion ...

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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 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer II

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Techtronic Industries - TTI is a company that values its people and culture as key to its success. The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects connect to broader initiatives
Qualifications:
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
• 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
• 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)
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization
• Experience working with modern software development tools and version control tools
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
• Excellent technical communication skills and fundamental project management abilities
• Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
Company:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .

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