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From Home Computer Vision Postdoc Jobs (NOW HIRING)

Mill

Software Engineer, AI/Computer Vision

San Bruno, CA · On-site

$250K/yr

... homes, businesses, and municipalities that transform food scraps from landfill-bound waste into ... About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill ...

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From Home Computer Vision Postdoc information

What is a from home computer vision postdoc?

A From Home Computer Vision Postdoc is a researcher with a doctoral degree who conducts advanced research in computer vision while working remotely, typically from home. These postdoctoral positions focus on developing algorithms and systems that enable computers to interpret and analyze visual information from the world, such as images and videos. Remote postdocs in this field often collaborate with academic institutions, research labs, or companies via digital communication tools. They may publish scientific papers, contribute to open-source projects, or assist in teaching while enjoying the flexibility of a work-from-home arrangement.

What skills and qualifications are needed to thrive as a from home computer vision postdoc?

To thrive as a From Home Computer Vision Postdoc, you need a PhD in computer science or a related field, with deep expertise in computer vision algorithms and research methodologies. Proficiency with programming languages like Python or C++, and experience using deep learning frameworks such as TensorFlow or PyTorch, are typically required. Strong analytical thinking, self-motivation, and effective remote collaboration skills help you excel in this role. These skills are crucial for conducting advanced research, publishing high-quality work, and contributing to collaborative projects in a remote academic or industry environment.

What are common challenges faced by remote computer vision postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges such as limited access to lab hardware, potential isolation from peers, and coordinating collaborative research across time zones. To overcome these, postdocs can leverage cloud-based computational resources, schedule regular virtual meetings with their research team, and participate in online seminars or forums to stay connected with the community. Effective communication and proactive networking are key to maintaining productivity and collaboration while working from home.

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What are the most commonly searched types of Computer Vision Postdoc jobs?

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From Home Computer Vision Postdoc jobs near you

Optics and Computer Vision (Systems) Engineer

Palo Alto, CA • On-site

Sciton
Medical Equipment and Supplies Manufacturing • 201 - 500 employees
Learn more about Scitonexternal

$150K - $220K/yr

Full-time

Retirement

Re-posted 4 days ago

Job description

Optics and Computer Vision (Systems) Engineer
Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers brought 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 four consecutive years from 2022 to 2025.
If you want to work on meaningful technology that directly improves patient lives and be part of a company that values curiosity, ownership, and excellence, we would love to meet you.
Position Summary
As an Optics and Computer Vision (Systems) 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&D and software teams, helping to bring new vision-based technologies from concept to production.
Your primary focus will be developing imaging and computer vision systems that analyze skin lesions for subsequent control of peripheral devices and actuators. These systems directly support cutting-edge treatments used by clinicians and benefit 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
  • Develop in a mixed hardware and software environment optical systems and real-time computer vision algorithms for medical skin imaging and skin treatment actuator control
  • Select camera and illumination hardware resulting in high image/video quality and consistent
  • skin lesion assessment under varying light conditions
  • Develop robust algorithms for:
    • Multi-sensor and multi-camera image fusion
    • Image registration, segmentation and feature extraction
    • Detection and quantitative assessment of visual events
    • Object motion compensation
    • Optimized visual servoing
  • Integrate vision processing to control peripheral devices and actuators, optimized for low latency and high reliability
  • Spearhead optical calibration, illumination design, image quality analysis, and system-level troubleshooting along the various technology pipelines
    • Resolve image distortion errors and alignment failures by systematically analyzing interactions across imaging pipeline subsystems.
    • Devise end-to-end calibration workflows, including target selection, data acquisition procedures, automated calibration execution and output of quantitative calibration quality metrics
  • Evaluate and adapt existing visual servoing 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
  • Support the development of ML and AI powered technologies beneficial to users

What We're Looking For
  • Strong experience delivering high-quality optical images for users and sub-systems
  • Hands-on, systems-oriented experience creating and refining algorithms for medical skin
  • imaging and treatment control, including:
    • Image registration, segmentation, feature extraction, object/defect detection, coordinate transformation and stereo depth determination
    • Multi-sensor and multi-camera image fusion
    • Real-time guidance of peripheral treatment devices with low latency
    • Visual servoing & motion compensation
  • Strong programming skills in C/C++ and Python, with solid object-oriented design experience
  • Knowledge of camera pipelines, 2D/3D vision algorithms, sensors, displays, and illumination systems
  • Strong understanding of image, video, illumination and visual servoing quality metrics and how to apply them for performance verifications
  • Experience with embedded Linux and platforms such as ARM / NXP i.MX, plus tools like Gstreamer, PyTorch, TensorFlow, OpenCV, Zemax and other toolkits

Core Qualifications
  • Master's or PhD in Optical Physics, Computer Science, Biomedical Engineering, or a related field
  • Minimum of 4 years of relevant industry experience
  • Strong theoretical and practical background in optical imaging, computer vision, image/video
  • processing, actuator controls for low latency and related performance verification metrics
  • Experience working with real-time systems, control loops, and camera communication protocols (USB, MIPI, etc.)
  • Proven ability to take projects from concept through execution and delivery
  • A collaborative mindset and strong problem-solving skills
  • Preferred Skills & 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
  • Experience in 3D imaging
  • Experience in biological imaging, quantitative contrast analysis and tissue perfusion assessment
  • Experience in denoising, deblurring, color processing, pixel-level correction, lens shading and distortion correction, quantitative image-quality assessment (MTF, SNR, contrast).
  • 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)

Compensation and Benefits
The salary range for this position is $150k - $220k. 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 Optics and Computer Vision (Systems) Engineer
LOCATION Palo Alto, HQ
Pay Range: $150,000 - $220,000 per year

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