1

Machine Vision Engineer Jobs in New York (NOW HIRING)

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field * 5+ years of experience designing and deploying machine vision systems in robotics or automation ...

Perception Engineer

New York, NY · On-site

$175K - $225K/yr

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field * 5+ years of experience designing and deploying machine vision systems in robotics or automation ...

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ... vision (especially OCR), or linear optimization problems * Experience with any of the following ...

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field * 5+ years of experience designing and deploying machine vision systems in robotics or automation ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we ... Experience with embedded systems and machine learning programing * platforms including TensorFlow ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we ... Experience with embedded systems and machine learning programing * platforms including TensorFlow ...

ABOUT THE ROLE As a Machine Learning Engineer in FOX Forward Deployed, you will rotate across two ... Develop computer vision systems that analyze live sports and news feeds, detect key moments, and ...

Showing results 21-40

Machine Vision Engineer information

See New York salary details

$34.5K

$140.9K

$211.7K

How much do machine vision engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine vision engineer in New York is $140,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine vision engineer?

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What is a machine vision engineer?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What does a machine vision engineer do?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

What are the most commonly searched types of Machine Vision Engineer jobs in New York? The most popular types of Machine Vision Engineer jobs in New York are:
What are popular job titles related to Machine Vision Engineer jobs in New York? For Machine Vision Engineer jobs in New York, the most frequently searched job titles are:
Infographic showing various Machine Vision Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $140,878 per year, or $67.7 per hour.

AI / Machine Learning Engineer

Apogee Global RMS

Piscataway, NJ • On-site

Full-time

Posted 8 days ago


Job description

Apogee Global RMS is seeking an AI / Machine Learning Engineer to support our enterprise client in New Jersey. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.

The ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle—from data preparation and model development to deployment and optimization across cloud and mobile environments.

Key Responsibilities:
  • Design and develop AI/ML models for computer vision, image classification, object detection, OCR, and feature extraction.
  • Build real-time image quality assessment, data processing, and intelligent capture solutions.
  • Develop and maintain data pipelines for data collection, labeling, cleaning, and augmentation.
  • Optimize ML models for cloud and mobile/on-device inference.
  • Implement fraud detection, anomaly detection, and security-focused AI capabilities.
  • Integrate ML models into production APIs and software platforms.
  • Monitor model performance and continuously improve accuracy and scalability.
  • Collaborate with engineering, product, and business teams to deliver AI-driven solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field (or equivalent experience).
  • 3+ years of experience building and deploying machine learning models in production environments.
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar.
  • Experience with computer vision libraries (OpenCV) and OCR technologies.
  • Strong understanding of deep learning architectures for image and text recognition.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving skills and ability to thrive in a fast-paced environment.
Preferred Qualifications:
  • Experience with model optimization and quantization for mobile deployment.
  • Knowledge of synthetic data generation and data augmentation techniques.
  • Background in fraud detection, anomaly detection, security, or identity technologies.
  • Familiarity with data privacy and compliance standards.
  • Experience contributing to open-source projects or AI research.
What You’ll Do:
  • Build next-generation AI capabilities with real-world enterprise impact.
  • Work on innovative computer vision and machine learning challenges.
  • Partner with talented engineering teams to move AI solutions from research to production.
  • Drive improvements in accuracy, performance, and scalability.

Benefits

For any questions (OR) to apply, please contact us at careers@apogeeglobalrms.com.