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Weekend Machine Vision Engineer Jobs in New York

WireScreen

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

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 ...

S&P Global

Machine Learning Engineer II

New York, NY

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across ... Medical, Dental, and Vision insurance * 100% company paid premiums * Unlimited Paid Time Off * 26 ...

New

S&P Global

Machine Learning Engineer II

Manhattan, NY · On-site

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across ... Medical, Dental, and Vision insurance * 100% company paid premiums * Unlimited Paid Time Off * 26 ...

New

S&P Global, Inc.

Machine Learning Engineer II

Manhattan, NY · On-site

$140 - $180/hr

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across ... Medical, Dental, and Vision insurance - 100% company paid premiums * Unlimited Paid Time Off * 26 ...

New

DeepMagic

Software Engineer

Manhattan, NY · On-site

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 ...

DeepMagic

Software Engineer

Manhattan, NY

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 ...

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All JobsMachine Vision Engineer JobsWeekend Machine Vision Engineer JobsWeekend Machine Vision Engineer Jobs in New York

Weekend Machine Vision Engineer information

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 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:

Weekend Machine Vision Engineer jobs near you
Infographic showing various Weekend Machine Vision Engineer job openings in New York as of June 2026, with employment types broken down into 100% Full Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

AI / Machine Learning Engineer

Apogee Global RMS

Piscataway, NJ • On-site

Full-time

Posted 15 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.

Apply