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Remote Computer Vision Postdoc Jobs in Arizona (NOW HIRING)

CAD Designer I

Phoenix, AZ · On-site +1

$25.50 - $35.25/hr

We are open to hiring remote if we find the right talent in any of the following states: AL, AR, AZ ... Medical, dental, and vision plans - start when you start! * Life insurance (self, spouse, children)

*Remote* Tax Manager in US

Tempe, AZ · On-site +1

$90K - $150K/yr

Big 4 firm experience preferred * Computer proficiency with software programs such as RIA ... Bonus potential up to 10% base of salary * 100% company-paid medical, dental, vision, life, short ...

... with computer software such as Microsoft Outlook and Adobe * Investigative, curious and problem ... Medical, Vision, and Dental Insurance * 401k Retirement Plan * 3.5 Weeks Paid Time Off plus 7 paid ...

New

SDS/SBS CAD Designer Lead

Gilbert, AZ · On-site +1

$27 - $37.25/hr

... healthcare, vision, and dental benefits for eligible employees. We are transitioning our HV ... remote teams. * Familiarity with AutoCAD LISP, scripting, or automation tooling is a strong plus.

Senior BIM Coordinator

Yuma, AZ · On-site +1

$35 - $40/hr

Remote Senior BIM Coordinator Location: Remote (Candidates must live within 60 miles of the hub ... This position is eligible for medical, dental, vision, and 401(k). Additional benefits may include ...

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Remote Computer Vision Postdoc information

What are some common challenges faced by remote Computer Vision Postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges related to collaboration and access to computational resources. Since much of the work involves large datasets and high-performance computing, ensuring secure and efficient remote access to servers and data is crucial. Effective communication with mentors and team members, often across different time zones, requires proficiency with collaboration tools and proactive scheduling. To address these challenges, it can be helpful to establish regular check-ins, document workflows clearly, and leverage cloud-based platforms for data processing and code sharing.

What is a Remote Computer Vision Postdoc?

A Remote Computer Vision Postdoc is a research position for individuals who have recently completed their Ph.D. and are specializing in the field of computer vision, all while working remotely. These postdoctoral researchers typically conduct advanced studies on topics such as image recognition, object detection, and machine learning algorithms, often collaborating with academic institutions or industry labs. The remote aspect allows for flexible work locations, making it possible to join international teams and contribute to projects from anywhere in the world. This role often emphasizes publishing research, developing prototypes, and contributing to open-source projects.

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

To thrive as a Remote Computer Vision Postdoc, you need a solid background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Proficiency with deep learning frameworks (such as TensorFlow or PyTorch), coding languages like Python or C++, and experience with large-scale data processing are essential. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, research-driven environments. These competencies ensure you can independently advance research objectives, contribute innovative solutions, and work efficiently with distributed teams.
What are the most commonly searched types of Computer Vision Postdoc jobs in Arizona? The most popular types of Computer Vision Postdoc jobs in Arizona are:
What are popular job titles related to Remote Computer Vision Postdoc jobs in Arizona? For Remote Computer Vision Postdoc jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Postdoc jobs in Arizona look for? The top searched job categories for Remote Computer Vision Postdoc jobs in Arizona are:
What cities in Arizona are hiring for Remote Computer Vision Postdoc jobs? Cities in Arizona with the most Remote Computer Vision Postdoc job openings:
Infographic showing various Remote Computer Vision Postdoc job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 2% Part Time, and 23% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.
AI/ML Engineer - Computer Vision

AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.

Goodyear, AZ • On-site, Remote

$110K - $180K/yr

Other

Posted 23 days ago


Job description

Description

Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.


Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent



Position Description:

Develop AI-Powered Computer Vision Solutions for Real-World Mission Applications

Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs.


In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments.


This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions.

Responsibilities include: 

  • Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
  • Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
  • Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
  • Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
  • Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
  • Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
  • Collaborate with software engineers and MLOps teams to integrate models into production environments.
  • Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
  • Create technical documentation, experiment reports, and performance assessments.
  • Support technical reviews, customer briefings, and cross-functional engineering efforts.  

Requirements

  • U.S. Citizenship
  • Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
  • Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
  • Experience training and evaluating machine learning models using large datasets. 
  • Experience developing and training computer vision models using deep learning techniques.
  • Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
  • Experience with model tuning, hyperparameter optimization, and performance evaluation.
  • Strong understanding of computer vision fundamentals and image analysis techniques.
  • Ability to improve model accuracy, robustness, and operational performance.
  • Familiarity with software engineering best practices, Git, and collaborative development workflows. 


  Preferred Skills or Experience:

  • Experience with generative AI technologies, including diffusion models and image generation systems.
  • Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
  • Experience with object tracking, multi-object tracking, or video analytics.
  • Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
  • Familiarity with reinforcement learning or autonomous systems.
  • Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
  • Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
  • Experience supporting defense, intelligence, aerospace, or other mission-critical programs.


Why Join PSG?

At PSG, you'll work on challenging AI   problems that directly support national security missions. You'll have the   opportunity to collaborate with highly skilled engineers and researchers   while helping shape the next generation of intelligent sensing, computer   vision, and AI-enabled systems.

We offer:

  • Competitive compensation and   benefits
  • Professional development and tuition   assistance
  • Flexible and collaborative   engineering culture
  • Exposure to cutting-edge AI/ML   technologies
  • Direct impact on mission-critical   programs
  • Opportunities to grow into technical   leadership roles

Bring your passion for AI, computer vision,   and machine learning to PSG and help build the next generation of intelligent   mission systems.



Salary Description

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs