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Computer Vision Scientist Jobs in Arizona (NOW HIRING)

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92.20K - $125.90K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92.20K - $125.90K/yr

Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud ... Experience coach and mentor junior scientists. What You Bring * PhD and with +5 years for ML ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Intraedge

Gen AI/ML engineer

Phoenix, AZ · Hybrid

... Computer Science, Engineering, Mathematics, Statistics, or related field expertise. Hands-on ... Strong knowledge of machine learning, deep learning, natural language processing, computer vision ...

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Computer Vision Scientist information

See Arizona salary details

$47.1K

$103.8K

$128.1K

How much do computer vision scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for computer vision scientist in Arizona is $103,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $127,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Scientist, and why are they important?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by Computer Vision Scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What are Computer Vision Scientists?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.

What is the difference between Computer Vision Scientist vs Machine Learning Engineer?

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

What are popular job titles related to Computer Vision Scientist jobs in Arizona? For Computer Vision Scientist jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Computer Vision Scientist jobs in Arizona look for? The top searched job categories for Computer Vision Scientist jobs in Arizona are:
Computer Vision Scientist jobs near you
Infographic showing various Computer Vision Scientist job openings in Arizona as of May 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $103,759 per year, or $49.9 per hour.
Computer Vision Camera Systems Internship

Computer Vision Camera Systems Internship

Alphacore Inc

Arizona, LA • On-site

Other

Posted 2 hours ago

Job description

Computer Vision Camera Systems Internship (Alphacore - Tempe, AZ - Onsite)

We're looking for an intern who's equally at home on the optical bench and in a Python
notebook, eager to turn raw sensor data into real-time insight.

Qualifications
Working toward or holding a degree in Optical Engineering, Electrical Engineering, Robotics, Computer Science, or a closely related field.
Hands-on experience with camera hardware and basic lab instrumentation.
Understanding of intrinsic & extrinsic calibration, camera-pose estimation, and radiometric calibration.
Proficiency in Python or C++; experience deploying code on embedded/edge platforms is a plus. Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems.
Strong problem-solving skills and the curiosity to dig deep into both hardware and software.

What You'll Do
Calibrate advanced cameras - derive lens intrinsics, sensor extrinsic, and radiometric response curves.
Integrate multi-sensor rigs - time-align cameras with IMUs, range finders, and custom electronics, then capture synchronized datasets.
Build edge pipelines - deploy calibration-informed perception algorithms on embedded CPUs/GPUs for live testing.
Prototype rapidly in the lab - design fixtures, script data collection, and iterate on hardware-software interactions for next-generation imaging systems.

Other Job Requirements
Due to U.S. export-control (ITAR) regulations, this position is open to U.S. persons only (citizens or lawful permanent residents).

How to Apply
Email your resume, to careers@alphacoreinc.com with the subject line "Computer Vision Camera Systems Internship"

About Us
Alphacore designs image sensors from the transistor level up. We craft pixel architectures, tape them out, and turn them into complete camera chips-giving you a front-row seat to semiconductor design flows, optical test benches, and the way manufacturing decisions ripple into imaging performance. Join our tight-knit Tempe team and help push camera technology to its next breakthrough. 

Learn more about us
Solutions | Alphacore | Robust High-Performance Microelectronics (alphacoreinc.com)
Employment Type: INTERN

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