ZipRecruiter

Log In

1

Science Engineer Jobs in Milwaukee, WI (NOW HIRING)

ConfigUSA

C++ Engineer

Waukesha, WI · On-site

Bachelor's Degree in Computer Science, Electrical Engineering or Computer Engineering with minimum years of experience 5+ years Demonstrated proficiency in C++ programming and Object oriented ...

Pwc

AI Solutions Engineering Delivery Lead

Milwaukee, WI · On-site

$101K - $133K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Fiserv, Inc.

Staff Engineer

Milwaukee, WI · On-site

Bachelor's degree in Computer Science, Engineering or a related field and 4 years in any job title involving Android development experience. Prior experience must include: 4 years working with ...

Directsupply

Senior Staff Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

Bachelor's degree in Computer Science, Engineering, or a related field; Master's preferred. * 10+ years of software engineering experience, including 3+ years leading architectural decisions across ...

ATI

Metallurgical Engineer

Cudahy, WI

Provide technical input and metallurgical guidance with proper evaluation by applying fundamentals of materials science and engineering to the Technology, Engineering and Manufacturing staff for ...

ATI

Metallurgical Engineer

Cudahy, WI · On-site

Provide technical input and metallurgical guidance with proper evaluation by applying fundamentals of materials science and engineering to the Technology, Engineering and Manufacturing staff for ...

Next Gen Alloys

Metallurgical Engineer

Cudahy, WI

Provide technical input and metallurgical guidance with proper evaluation by applying fundamentals of materials science and engineering to the Technology, Engineering and Manufacturing staff for ...

Cognex

Manager, DevOps Engineering

Wauwatosa, WI · Hybrid

$51.25 - $70.25/hr

Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience may be considered. * Experience: 6 - 8 years of related experience * Technical Skills:Strong knowledge of ...

Cognex Corporation

Manager, DevOps Engineering

Wauwatosa, WI · On-site

$51.25 - $70.25/hr

Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience may be considered. * Experience: 6 - 8 years of related experience * Technical Skills: Strong knowledge ...

Fiserv, Inc.

Database Engineer III

Milwaukee, WI · On-site

Bachelor's degree in Computer Science, Engineering or a related field and 2 years in any job title involving experience with Relational Database Systems, including PostgreSQL, Cassandra or YugabyteDB.

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...

Fiserv, Inc.

DevOps Engineer

Milwaukee, WI · On-site

$52 - $71.25/hr

Bachelor's degree in Computer Science, Engineering or a related field and 4 years in any job title involving experience using Infrastructure as Code and CloudFormation. Prior experience must include ...

Phigenics

Water Management Engineer

Milwaukee, WI · On-site

Background in science, engineering, or mathematics preferred * Ability to learn how to use equipment that measures pH, temperature, and residual oxidant in water * Excellent interpersonal, verbal ...

previous page

Showing results 41-60

All JobsScience Engineer JobsScience Engineer Jobs in Milwaukee, WI

Science Engineer information

What are the key skills and qualifications needed to thrive as a science engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What is a science engineer?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges science engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What are popular job titles related to Science Engineer jobs in Milwaukee, WI? For Science Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Science Engineer jobs in Milwaukee, WI look for? The top searched job categories for Science Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Science Engineer jobs? Cities near Milwaukee, WI with the most Science Engineer job openings:
Science Engineer jobs near you
Infographic showing various Science Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 21% Part Time, and 4% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

Applied Machine Learning Engineer I - Advanced Engineering & Technology

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 27 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 support the research, prototyping, and delivery of ML-driven capabilities that accelerate how we design and develop products. You will take ideas from conceptual whiteboard architectures through functional prototypes and support 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, and evaluate ML models to help solve well-scoped applied science and engineering problems, working under the guidance of senior engineers.
  • Build ML workflows spanning data acquisition, feature engineering, model development, and validation using standard scientific and ML libraries (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
  • Support algorithm selection and the construction of standard feature sets for engineering problems.
  • Support the deployment of ML models on edge hardware and cloud infrastructure, building and deploying with guidance.
  • 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.
  • Conduct experiments and data analysis following established patterns and methods; identify and debug basic model errors.
  • Organize, clean, and prepare data for downstream tasks, and create visualizations that support hypotheses, insights, and conclusions.
  • Collaborate with cross-functional teams to deliver ML solutions aligned with engineering needs, and support the design of data collection and test plans.
  • Research and learn about emerging AI and ML technologies through literature, universities, conferences, and vendor engagement.

What You'll Bring:
  • 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.
  • Experience applying ML to physical-world engineering or scientific problems (materials, mechanical systems, manufacturing, sensor systems, chemical processes, or similar).
  • Demonstrated experience designing, training, and evaluating ML models on real-world or academic problems.
  • Working knowledge of Python and the scientific computing ecosystem (NumPy, SciPy, Pandas, scikit-learn), with familiarity with SQL.
  • Exposure to at least one deep learning framework (PyTorch or TensorFlow), including training models, and awareness of 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.
  • Ability to help formulate well-scoped engineering or scientific tasks into ML problems with clear objectives and evaluation criteria, and awareness of when different model classes should be used.
  • 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 in relevant field.
  • Familiarity with common sensors and interpreting their physical data, and exposure to engineering test lab workflows.
  • Experience with computer vision for engineering applications.
  • Awareness of edge deployment concepts: model optimization and containerized deployment to industrial hardware.
  • Coursework or exposure to 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