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Ai Computer Vision Jobs (NOW HIRING)

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Nutanix

Computer Vision Engineer

San Diego, CA · On-site

$148 - $223/hr

This role is ideal for someone who thrives at the intersection of cutting ‑ edge computer vision algorithms, AI models, and efficient hardware/software implementation applied to real ‑ world ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

This role is ideal for someone who thrives at the intersection of cutting-edge computer vision algorithms, AI models, and efficient hardware/software implementation applied to real-world problems.

1872 Consulting

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

As a Computer Vision Engineer, you will be part of our AI Team working on revolutionizing the world of sport using our new computer vision innovations. What You'll Do: * Develop and implement the ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

ABOUT DURANTA & WHAT WE'RE LOOKING FOR Duranta is an applied AI lab changing the way the world sees the world. Our flagship foundation computer vision model, Aidan, measures and understands the world ...

1872 Consulting

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

As a Computer Vision Engineer, you will be part of our AI Team working on revolutionizing the world of sport using our new computer vision innovations. What You'll Do: * Develop and implement the ...

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All JobsTechnology JobsAi Computer Vision Jobs

Ai Computer Vision information

See salary details

$33.5K

$48.3K

$63.5K

How much do ai computer vision jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai 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 the difference between Ai Computer Vision vs Data Scientist?

AspectAi Computer VisionData Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; knowledge of machine learning and programmingBachelor's or higher in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentTech companies, research labs, AI startups; focus on image/video dataVarious industries including finance, healthcare, marketing; focus on data analysis and modeling
Employer & Industry UsagePrimarily in AI, robotics, autonomous vehicles, surveillanceAcross industries for data analysis, predictive modeling, and decision-making

While both roles involve data and machine learning, Ai Computer Vision specializes in image and video data analysis, whereas Data Scientists work with a broader range of data types to extract insights and build predictive models.

Will AI replace computer vision jobs?

AI computer vision jobs involve developing and maintaining systems that enable machines to interpret visual data. While AI automation can handle certain tasks, roles in designing, training, and improving computer vision models require specialized skills and human oversight, making complete replacement unlikely in the near term.

What cities are hiring for Ai Computer Vision jobs?

Cities with the most Ai Computer Vision job openings:

Infographic showing various Ai Computer Vision job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision AI & ML Engineer

Skild AI

San Mateo, CA • On-site

$127K - $149K/yr

Full-time

Re-posted 5 days ago

Job description

Position Overview

We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle-model development, data strategy, evaluation, and production integration-to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.

Responsibilities
  • Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
  • Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.
  • Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
  • Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
  • Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques; translate research insights into practical prototypes.
  • Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.
Preferred Qualifications
  • Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or 3D scene understanding.
  • Proficiency in Python; familiarity with C++ is a plus.
  • Experience building training pipelines, evaluation frameworks, and ML deployment workflows.
  • Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo).
  • Experience with data annotation tools, dataset management, and augmentation techniques.
  • Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems.
  • Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.

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