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Contractual Computer Vision Engineer Jobs in Arizona

Machine Learning Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. * Preform rapid prototyping and enhanced development to be integrated into operational ...

... MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. * Strong proficiency in programming languages such as Python, C/C ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

... MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. * Strong proficiency in programming languages such as Python, C/C ...

Principal Engineer, CAD

Tempe, AZ · On-site

$160K - $230K/yr

Job Summary The Principal Engineer, CAD will provide CAD Software support for Digital, Analog and ... Benefits offered : 401k plan, health and wellness that includes medical, dental, vision, life ...

Be Seen First

We are looking for an Engineer Material Process 3 to support our Parts, Materials and Processes (PM ... Contractual requirements. * Solid written and verbal communication skills. * NX or other CAD ...

... computer vision techniques to infer various datasources to provide most relevant suggestions to our customers and to improve the discovery of items. - Building systems that will impact millions of ...

... computer vision techniques to infer various datasources to provide most relevant suggestions to our customers and to improve the discovery of items. - Building systems that will impact millions of ...

Senior Engineer I, Mechanical Engineering

Phoenix, AZ · On-site

$103K - $137K/yr

Mechanical Engineer to design and develop advanced high precision equipment for the semiconductor ... or sensing/computer vision. * Knowledge of PLCs and control systems, including hardware and ...

Mechanical Engineer to design and develop advanced high precision equipment for the semiconductor ... or sensing/computer vision. * Knowledge of PLCs and control systems, including hardware and ...

Staff Engineer - Facilities BIM/CAD / VDC Location: Peoria, AZ (100% Onsite) Industry: Advanced ... Premium medical, dental, and vision coverage, 401(k) matching, generous PTO, and professional ...

... computer vision techniques to infer various datasources to provide most relevant suggestions to our customers and to improve the discovery of items. - Building systems that will impact millions of ...

Showing results 21-40

Contractual Computer Vision Engineer information

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

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

What are the most commonly searched types of Computer Vision Engineer jobs in Arizona?

The most popular types of Computer Vision Engineer jobs in Arizona are:

Infographic showing various Contractual Computer Vision Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Machine Learning Engineer II

Tucson, AZ • On-site

Rocket Lab Corporation
Aerospace Product and Parts Manufacturing • 201 - 500 employees

$92K - $126K/yr

Full-time

Posted 19 days ago


Rocket Lab rating

9.2

Company rating: 9.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

4th of 72 rated aerospace companies


Job description

SPACE SYSTEMS

At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.

Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions.

MACHINE LEARNING ENGINEER II

Rocket Lab's Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.

As a Machine Learning Engineer II based at our Optical Systems sites in Tucson, AZ, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing.

WHAT YOU'LL DO

  • Contribute your experience to developing solutions for real-world problems.
  • Design, train, and deploy machine learning models for Optical Systems applications
  • Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference.
  • Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision.
  • Preform rapid prototyping and enhanced development to be integrated into operational systems.
  • Perform troubleshooting, bug fixes, and maintenance of existing and new systems.
  • Stay current with ML research and evaluate new tools, frameworks, and techniques

 WHAT WE'RE LOOKING FOR IN A SENIOR MACHINE LEARNING ENGINEER I:

  • Bachelor's degree and 2+ years of experience, master's degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field
  • Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment
  • Experience in building deep learning neural network for computer vision, image processing, or video analysis (e.g., object detection, image segmentation, and tracking)
  • Strong math background, particularly linear algebra
  • Proficiency in Python
  • Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc)
  • Software engineering fundamentals: version control, testing, CI/CD, containerization
  • S. citizenship is required, due to program requirements
  • Ability to obtain and maintain an U.S. Government Security Clearance

NICE TO HAVE: 

  • Proficiency in C/C++/Rust
  • Experience curating quality, real-world datasets for training deep learning models
  • TS/SCI security clearance

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.


What Rocket Lab employees say

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