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Part Time Machine Vision Engineer Jobs (NOW HIRING)

Laitram

Machinist Apprentice (Part-time)

New Orleans, LA · On-site

$17 - $21.75/hr

Laitram Machine Shop, L.L.C., a division of Laitram, L.L.C., and a supplier of quality, high ... Work alongside experienced machinists, programmers, and production leadership. * Build foundational ...

Mind Rift

Freelance Machine Learning Engineer

Wausau, WI · On-site

$90/hr

... programming to solve Ensure problems are computationally intensive and cannot be solved manually ... to part-time, non-permanent projects. Ideally, contributors will have: 5+ years of hands‐on ...

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All JobsMachine Vision Engineer JobsPart Time Machine Vision Engineer Jobs

Part Time Machine Vision Engineer information

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$31.5K

$128.8K

$193.5K

How much do part time machine vision engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for part time machine vision engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Machine Vision Engineer, you need a solid background in computer vision, image processing, and programming, often supported by a degree in engineering or computer science. Familiarity with tools like OpenCV, MATLAB, and machine learning frameworks, as well as experience with industrial cameras and vision systems, is typically required. Strong problem-solving, attention to detail, and effective communication are important soft skills for this role. These skills ensure the development of accurate and efficient visual inspection systems that meet industry standards and project requirements.

How does working part-time as a Machine Vision Engineer impact collaboration with full-time team members and project timelines?

As a part-time Machine Vision Engineer, you will often coordinate closely with full-time engineers, software developers, and project managers to ensure your contributions align with project goals and deadlines. Communication tools and regular check-ins are typically used to keep everyone on the same page. While your hours may be more limited, clear documentation and proactive updates help maintain workflow continuity. Flexibility in scheduling and being responsive during key project phases can help overcome common challenges related to part-time collaboration.

What does a Part Time Machine Vision Engineer do?

A Part Time Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, usually in industrial or manufacturing settings. Working on a part-time basis, they may help with tasks like programming cameras, integrating vision algorithms, and troubleshooting vision-related hardware or software. Their work supports automated quality control, object recognition, and process optimization. Because the role is part-time, they typically focus on specific projects or provide specialized expertise as needed.

What is the difference between Part Time Machine Vision Engineer vs Part Time Computer Vision Engineer?

AspectPart Time Machine Vision EngineerPart Time Computer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and machine vision toolsBachelor's in Computer Science, Electrical Engineering, or related; strong programming skills in Python, OpenCV, and deep learning frameworks
Work EnvironmentManufacturing, robotics, quality control, industrial automationSoftware development, AI research, multimedia applications
Employer & Industry UsageManufacturers, automation companies, industrial labsTech firms, research institutions, startups in AI and multimedia

While both roles involve image analysis and programming skills, a Part Time Machine Vision Engineer focuses on applying vision systems in industrial settings, whereas a Part Time Computer Vision Engineer works more broadly on software-based vision applications across various industries.

What cities are hiring for Part Time Machine Vision Engineer jobs? Cities with the most Part Time Machine Vision Engineer job openings:
What are the most commonly searched types of Machine Vision Engineer jobs? The most popular types of Machine Vision Engineer jobs are:
Part Time Machine Vision Engineer jobs near you
Infographic showing various Part Time Machine Vision Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 13% Full Time, 82% Part Time, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Computer Vision (Software) Engineer

Computer Vision (Software) Engineer

Sciton

Palo Alto, CA

$170K - $190K/yr

Full-time, Part-time

Vision, Retirement

Posted 22 days ago

Job description

Computer Vision (Software) Engineer

Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring laser products to market just a few years after lasers were first invented, and that same spirit of innovation still drives us today.
We are built on a strong set of values: Selflessness, Candor, Innovation, Execution, Objectivity, Excellence, Learning, Ownership, and Clarity. With more than 500 employees worldwide, Sciton has been recognized as a USA TODAY Top Workplace for three consecutive years from 2022 to 2024.
If you want to work on meaningful technology that directly improves patient outcomes and be part of a company that values curiosity, ownership, and excellence, we would love to meet you.
Position Summary
As a Computer Vision (Software) Engineer, you’ll play a key role in advancing Sciton’s next generation of medical and aesthetic products. You’ll be embedded within both the R amp;D and software teams, helping to bring new vision-based technologies from concept to production.
Your primary focus will be developing and deploying computer vision systems that analyze skin areas for subsequent control of peripheral devices. These systems directly support cutting-edge treatments used by clinicians and experienced by patients worldwide.
You’ll collaborate closely with software, hardware, and clinical teams to guide projects through Sciton’s New Product Introduction (NPI) process—turning innovative ideas into real-world products.
What You’ll Work On
  • Design, prototype, and deploy real-time computer vision algorithms for medical skin imaging and skin treatment guidance
  • Develop robust algorithms for:
    • Image registration and segmentation
    • Feature extraction
    • Object motion compensation
    • Multi-camera image fusion
  • Integrate embedded vision processing to control peripheral devices, optimizing for low latency and high reliability
  • Collaborate on optical calibration, illumination design, image quality analysis, and system troubleshooting
  • Evaluate and adapt existing medical imaging and vision algorithms for clinical use
  • Work with external technology partners and vendors to select and refine imaging solutions
  • Contribute to patent filings and support regulatory documentation, including risk analysis and system validation
  • Stay current with advances in computer vision, medical imaging, and AI-driven techniques
What We’re Looking For
  • Hands-on experience creating and refining algorithms for medical skin imaging and treatment control, including:
    • Image registration and segmentation
    • Feature extraction
    • Motion compensation
    • Multi-camera image combination
    • Real-time guidance of peripheral treatment devices with low latency
  • Strong programming skills in C/C++ and Python, with solid object-oriented design experience
  • Knowledge of camera sensors, displays, and illumination systems
  • Experience with embedded Linux and platforms such as ARM / NXP i.MX, plus tools like GStreamer and OpenCV
  • Understanding of image, video, and illumination quality metrics and how to apply them
Core Qualifications
  • Master’s or PhD in Computer Science, Computer Vision, Electrical Engineering, Physics, Optical or Biomedical Engineering, or a related field
  • Minimum of 3 years of relevant industry experience
  • Strong theoretical and practical background in computer vision and image/video processing
  • Experience working with real-time systems, control loops, and camera communication protocols (USB, MIPI, etc.)
  • Solid understanding of optical imaging physics, calibration, and verification techniques
  • Proven ability to take projects from concept through execution and delivery
  • A collaborative mindset and strong problem-solving skills
Preferred Skills amp; Experience
  • GPU/CUDA acceleration
  • FPGA, NPU, or hardware-accelerated vision pipelines
  • Memory-mapped I/O, DMA, and real-time performance optimization
  • Vision pipeline latency reduction and throughput optimization on edge devices
  • MIPI CSI camera integration, ISP tuning, and sensor control (I2C, SPI)
  • H.264/H.265 video encoding for live video streams
  • Thermal management, power optimization, and EMC considerations
  • ROS/ROS2 experience (if vision interacts with robotic systems)
  • Familiarity with emerging AI-based vision approaches
Compensation and Benefits
The salary range for this position is $170k - $190k. In addition to a competitive market-based salary, Sciton provides an opportunity to participate in equity/stock incentive programs, a profit-sharing bonus, and a comprehensive benefits package, including 401(K) with matching
FULL-TIME/PART-TIME Full-Time
POSITION Computer Vision (Software) Engineer
LOCATION Palo Alto, HQ

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