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Weekend Machine Vision Engineer Jobs in Virginia

Manufacturing Engineer

Blacksburg, VA · On-site

$64K - $82K/yr

Experience with PLC programming, robotics, welding, automation, machine vision, or industrial ... Occasional off-shift and weekend support may be required to support manufacturing operations ...

Manufacturing Engineer

Blacksburg, VA · On-site

$85 - $115/hr

Experience with PLC programming, robotics, welding, automation, machine vision, or industrial ... Occasional off‑shift and weekend support may be required to support manufacturing operations ...

Machine Learning Engineer

Arlington, VA · On-site

$77.60 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

Design, develop, and deploy machine learning models, including deep learning, computer vision, and ... learning engineering, including developing and deploying models. * Proficiency in Python and ...

Manufacturing Engineer

Blacksburg, VA

$64K - $82K/yr

Experience with PLC programming, robotics, welding, automation, machine vision, or industrial ... Occasional off-shift and weekend support may be required to support manufacturing operations ...

Machine Learning Engineer

Alexandria, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Machine Learning Engineer

Arlington, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Number: R0245828 Machine Learning Engineer The Opportunity: As an experience d AI and ML ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Medical, Dental & Vision, plus Wellness programs * Paid Time Off : Flexible PTO * Professional ... As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ...

Machine Learning Engineer

Alexandria, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Number: R0246231 Machine Learning Engineer The Opportunity: As an experience d AI and ML ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Machine Learning Engineer

Arlington, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Number: R0242766 Machine Learning Engineer The Opportunity: As an experienced AI and ML ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

Showing results 41-60

Weekend Machine Vision Engineer information

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 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 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.

How much do weekend machine vision engineers make?

Weekend machine vision engineers typically earn between $25 and $50 per hour, depending on experience, location, and the complexity of projects. Compensation may also include benefits such as flexible scheduling and opportunities to work with advanced imaging tools and programming languages like Python or C++.

What are the most commonly searched types of Machine Vision Engineer jobs in Virginia?

The most popular types of Machine Vision Engineer jobs in Virginia are:

What cities in Virginia are hiring for Weekend Machine Vision Engineer jobs?

Cities in Virginia with the most Weekend Machine Vision Engineer job openings:

Manufacturing Engineer

Tenneco

Blacksburg, VA • On-site

$64K - $82K/yr

Full-time

Re-posted 2 days ago


Tenneco rating

7.1

Company rating: 7.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

342nd of 490 rated machine equipment manufacturers


Job description

Position Summary
The Manufacturing Engineer is responsible for applying engineering principles, lean manufacturing techniques, and analytical problem-solving methods to establish, maintain, and continuously improve manufacturing processes, equipment, and product quality. This position works closely with Production, Maintenance, Quality, Continuous Improvement, and Operations teams to improve safety, productivity, quality, and cost performance while supporting customer requirements and plant objectives.
The Manufacturing Engineer provides hands-on support to production operations and serves as a technical resource for process improvements, new product launches, automation initiatives, capital projects, and troubleshooting activities within a high-volume automotive manufacturing environment.
Essential Duties and Responsibilities
Manufacturing & Process Improvement
  • Develop, implement, and continuously improve manufacturing processes to enhance safety, quality, productivity, and efficiency.
  • Investigate and resolve manufacturing issues involving tooling, equipment, materials, and production processes.
  • Analyze workflow, labor utilization, machine capacity, and facility layouts to maximize operational efficiency.
  • Lead root cause analysis and corrective actions related to quality, process, and equipment concerns.
  • Establish and maintain process documentation, standard work instructions, PFMEAs, control plans, and process flow diagrams.
  • Support and drive Lean Manufacturing initiatives, including 5S, Kaizen, visual management, waste reduction, and continuous improvement activities.
  • Evaluate manufacturing feasibility for new products and process changes.

Equipment & Technical Support
  • Provide technical support for production equipment, automation systems, robotics, PLCs, vision systems, coating operations, molding processes, and assembly equipment.
  • Assist in troubleshooting production equipment to minimize downtime and improve reliability.
  • Recommend and implement equipment, tooling, and process modifications.
  • Coordinate equipment installations, process validations, and production launches.
  • Support preventive and predictive maintenance initiatives.

Project Management
  • Assist in developing and managing capital and expense budgets for manufacturing improvements.
  • Lead assigned capital projects from concept through implementation.
  • Support plant cost reduction initiatives through productivity improvements and waste elimination.
  • Estimate production rates, tooling requirements, setup costs, and manufacturing costs for new products and processes.

Training & Leadership
  • Train employees and technical personnel on equipment setup, operating procedures, safety requirements, and troubleshooting techniques.
  • Provide leadership and guidance during continuous improvement initiatives and project implementation.
  • Work cross-functionally with Production, Maintenance, Quality, Supply Chain, and CI teams to achieve plant objectives.
  • Demonstrate leadership characteristics and promote a culture of accountability, safety, and continuous improvement.

Safety & Compliance
  • Follow all Tenneco safety policies and procedures.
  • Actively promote a safe work environment and identify opportunities to reduce workplace hazards.
  • Support compliance with customer requirements, IATF 16949, ISO 14001, CQI standards, and applicable regulatory requirements.
  • Exercise authority to stop any activity that presents a safety risk or violates company policies.
  • Participate in safety investigations, audits, and corrective action activities.

Education
Required
  • Bachelor's Degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, Electrical Engineering, or a related engineering discipline.

Preferred
  • Advanced certifications in Lean Manufacturing, Six Sigma, Automation, or Project Management.

Experience
Required
  • Minimum 5 years of manufacturing engineering experience in a high-volume manufacturing environment.
  • Experience with process improvement, equipment troubleshooting, and manufacturing optimization.
  • Experience leading projects and implementing process improvements.

Preferred
  • Automotive manufacturing experience.
  • Experience with PLC programming, robotics, welding, automation, machine vision, or industrial controls.
  • Lean Manufacturing and Six Sigma experience.

Knowledge, Skills, and Abilities
  • Strong problem-solving and analytical skills.
  • Extensive knowledge of Lean Manufacturing principles and practical application.
  • Ability to manage multiple priorities in a fast-paced manufacturing environment.
  • Strong communication and leadership skills.
  • Proficiency with Microsoft Office and manufacturing-related software systems.
  • Knowledge of process capability, statistical analysis, SPC, and root cause analysis methodologies.
  • Demonstrated sense of urgency and results-oriented mindset.
  • Strong organizational and project management skills.

Physical Requirements
  • Ability to stand and walk on the manufacturing floor for extended periods.
  • Frequent bending, stooping, kneeling, climbing, and reaching while performing engineering and troubleshooting activities.
  • Ability to occasionally lift and carry up to 35 pounds.
  • Ability to work around moving machinery, material handling equipment, automated systems, and industrial manufacturing equipment.
  • Ability to wear required personal protective equipment (PPE), including safety glasses, hearing protection, steel-toed shoes, gloves, and other required safety equipment.
  • Visual ability to inspect products, review engineering drawings, operate equipment controls, and perform detailed analysis.
  • Manual dexterity required to operate computers, measuring devices, hand tools, and manufacturing equipment controls.

Work Environment
  • High-volume automotive manufacturing environment.
  • Regular exposure to heat, noise, vibration, dust, and moving mechanical equipment.
  • Combination of office and production floor work.
  • Occasional off-shift and weekend support may be required to support manufacturing operations, equipment installations, and production launches.

Tenneco is an Equal Opportunity Employer committed to providing a safe, inclusive, and productive workplace for all employees.

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