72,649 Machine Vision jobs in the United States

Seeking a Machine Vision Engineer II to Sr. Machine Vision Engineer with 3 - 8 years of experience with machine vision applications.

Specific skills:

• Experience with Cognex Insight, Designer and Vision Pro (Hardware & Software)
• Experience with Keyence (Hardware & Software)
• Has developed & deployed Machine Vision applications
  • Camera selection (line scan, area scan, etc.)
  • Lens selection (Telecentric, Fixed Focal Length, Field of View, Depth of View)
  • Lighting selection
  • Developed software for image processing
• Experience with .net and .net core (WPF) and HMI's

Machine Vision/Illumination Engineer

Kelly Services is currently seeking a Machine Vision Engineer for one of our top clients in Jacksonville, FL.

• Kelly Outsourcing Consulting Group KellyOCG, a managed solution provider and business unit of Kelly Services, Inc., is currently seeking a Machine Vision Engineer working onsite in Jacksonville, FL.

• As a KellyOCG employee you will be eligible for Medical, Dental, 401K and a variety of other benefits to choose from.

• You'll also be eligible for paid time off, including holiday, vacation and sick/personal time.

• All KellyOCG employees receive annual performance reviews.

As a Machine Vision Engineer placed with KellyOCG you will be responsible for the following:

Key responsibilities:

• Design, develop, and implement machine vision systems for automated contact lens inspection and quality control, leveraging various technologies such as high-resolution cameras, optics, lighting, sensors, and robotics.

• Develop and optimize image processing algorithms and software tools for defect detection, dimensional measurements, and pattern recognition on contact lenses.

• Integrate machine vision systems with existing manufacturing lines and automation platforms.

• Train and develop machine learning and deep learning models for intelligent recognition and classification of contact lens defects.

• Analyze and interpret data collected from vision systems to identify trends, optimize processes, and ensure quality standards.

• Perform testing, debugging, and maintenance of machine vision systems, ensuring their accuracy, reliability, and uptime.

• Stay up to date with the latest advancements in machine vision technology, including hardware, software, and algorithms.

• Collaborate with cross-functional teams, including mechanical, electrical, and software engineers, as well as production and quality assurance teams.

• Document system design, development, and operating procedures.

Qualifications and Skills Education:

• Bachelors degree in Computer Science, Electrical Engineering, or a related field Masters or PhD preferred.

Technical Skills:

• Proficiency in programming languages such as Python, C++, and Java.

• Experience with machine vision libraries like OpenCV or TensorFlow.

• Strong understanding of computer vision, image processing, machine learning, and deep learning concepts.

• Familiarity with various hardware components, including cameras, sensors, lenses, and lighting systems.

• Knowledge of statistical analysis and data interpretation.

• Experience with robotics and automation technologies preferred

Soft Skills:

• Strong analytical and problem-solving skills.

• Attention to detail and accuracy.

• Excellent communication and collaboration skills.

• Ability to work independently and as part of a team.

• Continuous learning mindset to adapt to evolving technologies.

Important information: This position is recruited by a remote Kelly office, not your local Kelly branch. Applicants must be legally permitted to work in the United States.

Why Kelly ® ?

The Managed Solutions practice within Kelly Outsourcing and Consulting Group (KellyOCG ® ) is one focus within the full array of Kelly Services® workforce solutions.

Kelly Services has transformed from the staffing industry pioneer to a leading workforce solutions provider. KellyOCG is the distinguished outsourcing and consulting segment of Kelly Services, known for applying a forward-looking approach that enables companies to make strategic workforce planning decisions that impact their business and competitive advantage.

The Managed Solutions practice area of KellyOCG is dedicated to partnering with clients to architect and implement solutions that put them in a position to meet their operational obligation to their organization and freedom to focus on their more strategic business needs.

As a Kelly Services employee, you will have access to numerous perks, including:

• Vacation and sick pay

• Paid holidays

• 401(k) plan

• Group medical, vision, dental, life, and short-term disability insurance options

• Kelly Discounts on goods and services, auto and home insurance, and tuition at Kelly partner schools

• Kelly Learning Center offers free courses and trainings

• Weekly pay

About Kelly Services ®

As a workforce advocate for over 70 years, we are proud to have a role in managing employment opportunities for more than one million workers around the globe. We employ 550,000 of these individuals directly with the remaining workers engaged through our talent supply chain network of supplier partners. Revenue in 2015 was $5.5 billion. Visit kellyservices.com and connect with us on Facebook ( , LinkedIn ( and Twitter ( .

Kelly Services is an equal opportunity employer including, but not limited to, Minorities, Females, Individuals with Disabilities, Protected Veterans, Sexual Orientation, Gender Identity and is committed to employing a diverse workforce. Equal Employment Opportunity is The Law. (

As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, a legal plan, and short-term disability. As a Kelly employee, you will have access to a retirement savings plan, service bonus and holiday pay plans (earn up to eight paid holidays per benefit year), and a transit spending account. In addition, employees are entitled to earn paid sick leave under the applicable state or local plan. Click here ( for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community.

Find what's next with Kelly ® .

As a worker today, it's up to you to take charge of your career and look for opportunities to learn, grow, and achieve your potential. Helping you find what's next is what we're all about. We know what's going on in the evolving world of work-just ask the 440,000 people we employ each year. Connecting with us means getting the support, guidance, and opportunities needed to take your career where you may have never imagined.

About Kelly

Work changes everything. And at Kelly, we're obsessed with where it can take you. To us, it's about more than simply accepting your next job opportunity. It's the fuel that powers every next step of your life. It's the ripple effect that changes and improves everything for your family, your community, and the world. Which is why, here at Kelly, we are dedicated to providing you with limitless opportunities to enrich your life-just ask the 300,000 people we employ each year.

Kelly is committed to providing equal employment opportunities to all qualified employees and applicants regardless of race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or any other legally protected status, and we take affirmative action to recruit, employ, and advance qualified individuals with disabilities and protected veterans in the workforce. Requests for accommodation related to our application process can be directed to the Kelly Human Resource Knowledge Center. Kelly complies with the requirements of California's state and local Fair Chance laws. A conviction does not automatically bar individuals from employment. Kelly participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Kelly Services is proud to be an Equal Employment Opportunity and Affirmative Action employer. We welcome, value, and embrace diversity at all levels and are committed to building a team that is inclusive of a variety of backgrounds, communities, perspectives, and abilities. At Kelly, we believe that the more inclusive we are, the better services we can provide. Requests for accommodation related to our application process can be directed to Kelly's Human Resource Knowledge Center. Kelly complies with the requirements of California's state and local Fair Chance laws. A conviction does not automatically bar individuals from employment.

• Learn current inspection system and implement improvement for defect inspection overkill and escape
• Development of visual inspection recipes for new products through massive AI training
• Continuously collect escaped and overkilled photos for AI re-training for existing recipe to reduce mis-detection rate
• Apply image processing such as image enhancement, thresholding, morphology, feature extraction, classification etc. to improve defect detection accuracy
• Review OQC rejected work orders
• Troubleshooting for work orders with inspection issues
• Ensure production line meet uptime, cycle time and quality metrics, have the sense of urgency on resolution of production issues
• Inspection yield report analysis on a weekly basis
• Current inspection of hardware tool routine maintenance and new tool qualification
• Document process changes/updates in format of Standard Operating Procedure
• Technical training for operators and technicians
• Regularly and effectively communicate status of activities/project updates with colleagues
• Overtime may be needed for production line needs

• Required: Bachelor's degree in computer science with focus on computer vision, image processing or deep learning
• Prefer: Master's degree or above in computer science, and experience in a manufacturing environment
• Software/ Hardware Knowledge:
  
  • Microsoft Access or SQL preferred
  • Cognex Vidi highly preferred and a plus
  • Programming in Python highly preferred
  • Programming in Visual C# highly preferred
• Skills/ Abilities:
  
  • Knowledge of cameras, lenses, optics, lighting, and others for image capture and processing
  • DOE and data analysis capability
  • Trouble-shoot capability
• There may be up to 10% international traveling

• Flexible and competitive health (medical, dental, vision) plans, offering employees with the right options to meet individual and family needs
• Employer matching on 401(k) deferrals
• Generous PTO policy, with unused PTO payout at the end of the year
• Relocation package, available within US
• Immigration sponsorships (Must be currently authorized to work in the US)

Job Description

The Machine Vision Engineering Fellow serves as the technical authority and visionary for all machine vision initiatives within the Vaux division. This position leads the design, development, and deployment of advanced perception systems that power Vaux Vision, Smart Autonomy, and future innovations. The work of the Machine Vision Engineering Fellow directly impacts the efficiency, safety, and intelligence of next-generation material handling systems across warehouses, distribution centers, and industrial environments.

Responsibilities

• Collaborate cross-functionally with robotics, embedded systems, cloud, and product teams to integrate vision systems into the Vaux OS and Smart Autonomy platforms.

• Represent ArcBest in industry forums, patent filings, and academic collaborations.

• Architect and lead the development of real-time 3D vision systems for freight measurement, object detection, and autonomous navigation.

• Drive innovation in AI/ML-based perception, including damage detection, freight classification, and anomaly detection.

• Mentor and guide senior engineers and technical leads across multiple teams.

• Other duties and projects, as assigned.

• Design and optimize multi-sensor fusion algorithms (e.g., LiDAR, stereo/depth cameras, IMUs) for forklift-mounted and mobile robotic platforms.

Requirements

Education:

• Master's Degree in Computer Vision, Robotics, Electrical Engineering, or related field, required

• PhD is a plus.

Experience:

• 15+ years of experience in machine vision.

• 5 years of experience in autonomous systems or industrial automation.

• Proven track record of delivering production-grade vision systems in robotics, logistics, or manufacturing.

Computer Skills:

• 3D perception (e.g., SLAM, point cloud processing, depth estimation), required

• Real-time image processing and embedded vision, required

• Sensor calibration and synchronization, required

• AI/ML for visual inspection and classification, required

• Proficiency in C++, Python, ROS, OpenCV, and deep learning frameworks (e.g., TensorFlow, PyTorch), required

• Experience with cloud-connected vision systems and edge AI deployment, required

Additional Requirements:

• Experience with forklift or AMR-mounted vision systems, preferred

• Familiarity with NTEP certification and industrial safety standards, preferred

• Contributions to open-source vision libraries or published research in top-tier conferences, preferred

Other Details

Work Hours:

• Generally, 8:00 am - 5:00 pm with occasional irregular hours depending on workload.

Travel Requirements:

• Occasional (25-50%)

Compensation:

• This is a salary position paid biweekly.

• Pay Range: $200,000.00-$225,000.00 base salary.

About Us

ArcBest Technologies, ArcBest's tech and innovation team, provides custom-built solutions and leading-edge technologies that help our customers successfully navigate the complex supply chain landscape. The team is made up of highly engaged, creative tech and analytics professionals who create smart solutions that help keep the global supply chain moving.

An Equal Opportunity Employer M/F/Vet/Disability

• Data Collection and Management:
  • Gather and manage data from multiple sources, including machine vision systems, operational databases, and external maritime data feeds.
  • Ensure data accuracy and integrity through rigorous cleaning and preprocessing techniques.
• Data Analysis and Reporting:
  • Analyze data to identify trends, anomalies, and opportunities for safety improvements within maritime operations.
  • Create detailed reports and dashboards that visualize key performance indicators (KPIs) and insights for stakeholders, including operational teams and management.
• Collaboration and Support:
  • Support the development and implementation of data analytics tools and systems.
  • Work closely with engineering and product development teams to understand data requirements and provide analytical support for AI model improvements.
  • Collaborate with maritime safety experts to translate technical data into actionable safety recommendations.
• Continuous Improvement :
  • Identify and implement process improvements for data collection, analysis, and reporting workflows.
  • Stay abreast of industry trends, emerging technologies, and best practices in data analytics and machine vision applications.

• Education:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• Experience:
  • 2+ years of experience in data analysis, preferably within the industrial technology sector.
  • Familiarity with machine vision technologies and their applications in safety and operations is a plus.
• Technical Skills:
  • Proficient in data analysis tools (e.g., Python, R, SQL) and data visualization platforms (e.g., Tableau, Power BI).
  • Strong understanding of statistical analysis and data modeling techniques.
  • Experience with data preprocessing and cleaning techniques to manage large datasets effectively.
• Soft Skills:
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills, with the ability to present complex data insights in a clear and concise manner.
  • Ability to work collaboratively in a fast-paced, interdisciplinary team environment.

• Group Medical, Dental, and Vision Insurance
• Basic Life and Accidental Death and Dismemberment (AD&D) Insurance
• Short-Term and Long-Term Disability Insurance
• 401(k) Plan with a Company Match
• Employee Assistant Program
• Paid Company Holidays
• Paid Time Off (PTO)
• Sick Time

Job Description

Gatekeeper Systems stands proudly as the foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California. We maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada, fostering a diverse team of 450 talented employees. Over the past 25 years, Gatekeeper Systems has been at the forefront of the industry , demonstrating our commitment to excellence through cutting-edge technologies and unparalleled customer service.

Join us on our journey as we continue to revolutionize the retail sector, providing innovative solutions and services that redefine industry standards.

POSITION SUMMARY:

We are looking for a highly skilled Machine Learning Vision Engineer to design, develop, and implement AI-driven vision solutions that enhance our products and services in the Retail Theft Prevention domain. The ideal candidate should have a strong background in machine learning , computer vision and AI pipelines .

A key advantage would be the ability to optimize machine learning models for efficient deployment on edge devices , ensuring performance and scalability in real-world environments. Additionally, experience in building data-to-deployment training pipelines in the cloud and on the edge is a plus.

This role offers the opportunity to work on cutting-edge AI solutions that drive innovation in computer vision and be a key contributor to our Computer Vision and AI stack.

WHAT WE OFFER…

Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include:

• Attractive Total Compensation Package, including annual bonus
• Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options.
• 401(k) Plan with Employer Match
• Generous Paid Time Off (PTO) policy
• Observance of 11 paid company holidays
• Various Employee Engagement Events
• Exciting Growth Opportunities
• Positive Company Culture

ESSENTIAL JOB FUNCTIONS; but not limited to:

• Design and implement real-time object detection, tracking, and classification solutions using machine learning and computer vision techniques.
• Optimize models for real-time processing on various platforms, including edge devices, cloud-based systems, and embedded hardware, ensuring low-latency performance.
• Develop and manage end-to-end machine learning pipelines to automate and optimize data curation, preprocessing, and model training workflows.
• Implement automation tools and monitoring frameworks to track model performance, detect anomalies, and streamline updates.

QUALIFICATION REQUIREMENTS

The requirements listed below are representative of the knowledge, skill and/or ability required.

• Strong knowledge of algorithm development and data structures.
• Proficiency in TensorFlow Lite and model quantization.
• Ability to thrive in a fast-paced environment and handle complex, evolving requirements.
• Track record of innovative problem-solving and a willingness to explore unconventional approaches.
• Exemplifies professionalism in all aspects of day-to-day duties and responsibilities.
• Self-aware and open to learning about personal effectiveness in the workplace.
• Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems.
• Constantly strives to improve performance and effectiveness of the team and the company.

EDUCATION AND/OR EXPERIENCE

• Master’s degree (preferred) in CS, CE, ML or related field experience
• 3+ years of building models for edge deployment for camera-based object detection and classification
• 3+ years of programming in Python (preferred) or C/C++
• Experience with deep learning frameworks like PyTorch or TensorFlow.
• Experience working with MobileNetV2 and YOLOv8 models.
• Experience with embedded Linux software development, Yocto experience a plus
• Linux platforms: V4L2 camera API, gstreamer
• General understanding of camera hardware and video formats
• Experience with Google Cloud Platform and cloud-based AI workflows.

DISCLAIMER

This Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities.

Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.

• Operate all production machines and automatic production lines with the skill and ability to make adjustments to maintain tolerances using the necessary gauges to assure quality.
• Periodic checks of parts at required intervals to maintain quality.
• Changes disposable tooling and makes necessary changeovers and any other work as assigned.
• Maintain a clean and safe work environment and the ability to work in a team-based environment.