2874 Engineering Intern Education jobs in Madison,WI

Field Services Engineer

Insight Global

Madison, WI 53774

ALKAR

Lodi, WI 53555

Understanding of basic manufacturing processes (e.g., welding, machining, sheet metal)
Associate degree in mechanical design/drafting, or BS in Mechanical Engineering
Alternatively, 3+ years of CAD experience with demonstrated proficiency in SolidWorks and drawing creation
Occasional lifting of up to 50 lbs may be required
Willingness to learn and accept feedback
Strong analytical and troubleshooting skills
Attention to detail and accuracy in design output

Scientific Protein Laboratories, LLC

Waunakee, WI 53597

Dwyer Instruments

Middleton, WI 53562

Must be able to sit and stand for extended periods of time
Some lifting required (up to 60lbs)
May be required to use the following equipment: small hand tools, wire strippers, wire cutters, fluke meter, multimeter, drills, crimping machine, potting machine, tape machine, plastic bag machine, press, soldering iron, and heat gun

Merck Group

Verona, WI 53593

Lift and move up to 50 pounds with the assistance of equipment or teammates as necessary
Operate hand tools, calculators, and weighing/measuring devices.
High School Diploma or GED.
2+ years of pharmaceutical manufacturing, chemical manufacturing, or analytical lab experience.
Stand for long periods of time
Utilize proper personal protective equipment (PPE), including respiratory protection, lab coats, and full-body protection.
Work with highly potent/hazardous materials and understanding chemical hazards.
Work in Class 1 / Div 2 areas and near moving mechanical parts.

Horizon Develop Build Manage

Madison, WI 53718

Exact Sciences

Madison, WI 53711

8 years of experience in software, ML systems, or platform engineering.
Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP).
Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.
Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio).
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
Experience developing scalable and compliant ML systems and tools.