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Weekend Machine Vision Engineer Jobs in Milwaukee, WI

Walbec Group

Curb Machine Operator

Milwaukee, WI

$16.75 - $20/hr

... site engineering and construction solutions for solar,Walbecis yourbridge toexpertisein ... Able to work varied hours including nights, early mornings, and weekends as needed. * Be able to ...

Spee-Dee Packaging Machinery

Controls Engineer

Sturtevant, WI · On-site

$80K - $104K/yr

Spee-Dee Packaging Machinery is a leading manufacturer of packaging equipment. We are seeking a ... Medical, dental & vision insurance (company pays the majority of medical premium) * Stable, U.S ...

Regal Rexnord

Machine Center Operator C

Milwaukee, WI

$16.75 - $20/hr

Set up, adjust, operate and prove out programming for numerically controlled machining equipment to ... Medical, Dental, Vision and Prescription Drug Coverage * Spending accounts (HSA, Health Care FSA ...

The Gund Company

Machine Operator - 1st Shift

Waukesha, WI · On-site

$17 - $20.25/hr

Composites About The Gund Company The Gund Company, a leader in engineered material solutions ... Comprehensive benefits package (Health, Dental, Vision, Life, Disability). * 401(k) plan with a 50 ...

Regal Rexnord

Machine Operator - Gear Cutter

Milwaukee, WI

$16.25 - $20.75/hr

Interpret blueprints, engineering drawings, and work orders to determine gear specifications ... Medical, Dental, Vision and Prescription Drug Coverage * Spending accounts (HSA, Health Care FSA ...

The Gund Company

Machine Operator - 2nd Shift

Waukesha, WI · On-site

$23 - $27.60/hr

Composites About The Gund Company The Gund Company, a leader in engineered material solutions ... Comprehensive benefits package (Health, Dental, Vision, Life, Disability). * 401(k) plan with a 50 ...

The Gund Company

Machine Operator - 3rd Shift

Waukesha, WI · On-site

$17 - $20.25/hr

Composites About The Gund Company The Gund Company, a leader in engineered material solutions ... Comprehensive benefits package (Health, Dental, Vision, Life, Disability). * 401(k) plan with a 50 ...

Halpin Staffing Services

Be Seen First

CNC Machine Operator

Franklin, WI · On-site

$20 - $30/hr

Perform a series of complex machine operations, including setup and programming to meet precise ... Our benefits program includes a generous health/dental/vision package, and 401(k) program in ...

The Gund Company

Machine Operator - 2nd Shift

Waukesha, WI · On-site

$17 - $20.25/hr

Composites About The Gund Company The Gund Company, a leader in engineered material solutions ... Comprehensive benefits package (Health, Dental, Vision, Life, Disability). * 401(k) plan with a 50 ...

Kelly Services

Machine Operator

Menomonee Falls, WI

$17.85/hr

Utilizing basic computer and PLC (Programmable Logic Controller) systems * Maintaining a safe work ... Health, dental, and vision insurance options * Kelly-sponsored ACA healthcare coverage * Service ...

Kelly Services

Machine Operator

Menomonee Falls, WI

$17.85/hr

Utilizing basic computer and PLC (Programmable Logic Controller) systems * Maintaining a safe work ... Health, dental, and vision insurance options * Kelly-sponsored ACA healthcare coverage * Service ...

Dynex/Rivett Inc.

Be Seen First

Manufacturing Engineer Machining

Pewaukee, WI · On-site

$70K - $90K/yr

Update existing documentation when changes occur. · Work with machine operators to prove out ... Dental and vision plans * 401(k) retirement plan with generous company contributions * Employer ...

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All JobsWeekend Machine Vision Engineer JobsWeekend Machine Vision Engineer Jobs in Milwaukee, WI

Weekend Machine Vision Engineer information

See Milwaukee, WI salary details

$31K

$126.9K

$190.6K

How much do weekend machine vision engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for weekend machine vision engineer in Milwaukee, WI is $126,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

What are the key skills and qualifications needed to thrive as a Weekend Machine Vision Engineer, and why are they important?

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
What cities near Milwaukee, WI are hiring for Weekend Machine Vision Engineer jobs? Cities near Milwaukee, WI with the most Weekend Machine Vision Engineer job openings:
Weekend Machine Vision Engineer jobs near you

Applied Machine Learning Engineer II - Advanced Engineering & Technology

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

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