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Computer Vision Jobs (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

Responsibilities : • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the ...

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and ...

Observable

Computer Vision Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and ...

Pano

AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

The Role We are looking for a motivated Computer Vision Engineer to help build the next generation of cloud/edge-based vision systems for wildfire detection and environmental monitoring. In this role ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge * Optimize models ...

Toggle Robotics

3D Computer Vision Engineer

$114K - $134K/yr

They are seeking a 3D Computer Vision Engineer to develop software that transforms raw 3D scan data into reliable measurements and decisions for quality control in fabrication environments.

Meta

Computer Vision Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

The Reality Labs organization is helping more people around the world come together and connect through Wearables and Virtual Reality products. With glo.

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Computer Vision information

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$33.5K

$48.3K

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How much do computer vision jobs pay per year?

As of Sep 13, 2026, the average yearly pay for computer vision in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is a computer vision?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What does a computer vision professional do?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What are the key skills and qualifications needed to thrive in computer vision?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

Is computer vision a good career?

Computer vision is a growing field within artificial intelligence that involves developing algorithms to interpret visual data. It offers opportunities in industries such as healthcare, automotive, and security, often requiring skills in programming, machine learning, and image processing. Job prospects are strong, with demand for specialists who can work with tools like OpenCV and deep learning frameworks.

What are computer vision jobs?

Computer vision jobs involve developing algorithms and systems that enable computers to interpret and analyze visual data such as images and videos. Roles often require skills in machine learning, programming languages like Python or C++, and familiarity with tools like OpenCV or deep learning frameworks. These jobs are common in industries like robotics, healthcare, automotive, and security, and may require a background in computer science or engineering.
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Computer Vision jobs near you
Infographic showing various Computer Vision job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision/ML Engineer

Brooklyn, NY • On-site

Norbert Health
Fitness and Sports Centers • 11 - 50 employees
Learn more about Norbert Healthexternal

$121K - $142K/yr

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Norbert Health is building autonomous robots that deliver healthcare. They are seeking a lead deep learning engineer to spearhead the development of their groundbreaking sensing technology, focusing on designing and deploying computer vision models for real-time inference.
Responsibilities:
• Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
• Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
• Build and maintain MLOps pipelines for model training, validation, and performance monitoring
• Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
• Establish engineering best practices and help reduce technical debt as we scale
• Contribute to the architecture and implementation of the computer vision stack from research to production
Qualifications:
Required:
• Master's or PhD degree in Machine learning / Computer vision
• Strong fundamentals: data structures, CV algorithms, and systems programming
• Strong C++ skills - this is critical for our edge deployment pipeline
• Solid Python proficiency for ML experimentation and tooling
• Ability to work independently, solve complex problems, and drive projects to completion
• 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
• Experience with PyTorch and model optimization for edge AI
• Proven ability to take models from research to production on embedded hardware
Preferred:
• Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
• MLOps experience (experiment tracking, model versioning, performance monitoring)
• Experience with sensor fusion (RGB, IR, depth cameras)
• Background in medical devices, regulated environments, or healthcare applications
• Experience working in fast-moving early-stage environments
Company:
Norbert Health develops a home medical pod that monitors the health of families using contactless sensors. Founded in 2019, the company is headquartered in Brooklyn, USA, with a team of 11-50 employees. The company is currently Early Stage.

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