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Remote Applied Mathematics Jobs in Arizona (NOW HIRING)

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... mathematical models. * Specify manipulative or computational methods to be applied to models.

Remote Applied Mathematics information

See Arizona salary details

$19.9K

$75.1K

$180.1K

How much do remote applied mathematics jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote applied mathematics in Arizona is $75,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,320.00 and $96,602.00 per year, depending on experience, location, and employer.

Does the FBI hire mathematicians?

Yes, the FBI employs mathematicians in roles such as cryptanalysts, data analysts, and intelligence analysts. These positions often require strong analytical skills, a background in applied mathematics or related fields, and security clearances. Mathematicians in the FBI may work on code-breaking, data analysis, and threat assessment tasks.

What are some typical projects or problems addressed by professionals in Remote Applied Mathematics roles?

Professionals in Remote Applied Mathematics frequently tackle complex problems such as optimizing processes, developing statistical models, or analyzing large datasets to extract actionable insights for industries like finance, healthcare, or engineering. Their daily work often involves collaborating with multidisciplinary teams via virtual meetings, sharing research findings, and validating results through computational simulations or data analysis. Project scopes can range from short-term consultations to long-term research, allowing for significant variety and intellectual engagement. This dynamic environment enables applied mathematicians to make real-world impacts while building a versatile skill set relevant to a variety of sectors.

What is a Remote Applied Mathematics job?

A Remote Applied Mathematics job involves using mathematical theories and techniques to solve real-world problems in various industries while working from a remote location. Professionals in this field apply mathematical modeling, statistical analysis, and computational methods to fields like finance, engineering, data science, and operations research. They often collaborate with teams virtually, using digital tools to analyze data, develop algorithms, and optimize solutions. Strong problem-solving skills and proficiency in programming languages like Python, R, or MATLAB are commonly required. This role offers flexibility and allows mathematicians to contribute to diverse industries without being tied to a physical office.

Can mathematicians work remotely?

Mathematicians, including those in applied mathematics roles, can often work remotely, especially in research, data analysis, modeling, and software development. Remote work depends on the employer, job requirements, and the use of tools like programming languages and collaboration platforms. Many organizations offer flexible or fully remote positions for mathematicians with strong analytical and technical skills.

What are the key skills and qualifications needed to thrive in the Remote Applied Mathematics position, and why are they important?

To thrive in Remote Applied Mathematics, you need a solid background in mathematical modeling, statistical analysis, and problem-solving, usually substantiated by a degree in mathematics, applied math, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience using data analysis software is highly valued. Strong communication, self-motivation, and time management skills help remote professionals collaborate and meet project goals effectively. These combined abilities are crucial to deliver high-quality mathematical solutions and insights while working independently in a virtual environment.

What jobs can I do with applied mathematics?

Applied mathematics graduates can work as data analysts, quantitative analysts, operations researchers, or computational scientists. These roles often require strong problem-solving skills, proficiency in programming languages like Python or MATLAB, and knowledge of statistical methods. They are common in industries such as finance, technology, engineering, and research institutions.

Is applied math in demand?

Applied mathematics is in high demand across industries such as finance, engineering, data science, and technology, where analytical and problem-solving skills are essential. Professionals with expertise in modeling, algorithms, and programming tools like MATLAB or Python are especially sought after, and job growth in these fields remains strong.
What are the most commonly searched types of Applied Mathematics jobs in Arizona? The most popular types of Applied Mathematics jobs in Arizona are:
What job categories do people searching Remote Applied Mathematics jobs in Arizona look for? The top searched job categories for Remote Applied Mathematics jobs in Arizona are:
What cities in Arizona are hiring for Remote Applied Mathematics jobs? Cities in Arizona with the most Remote Applied Mathematics job openings:
Infographic showing various Remote Applied Mathematics job openings in Arizona as of July 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $75,116 per year, or $36.1 per hour.
AI/ML Engineer - Computer Vision

AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.

Goodyear, AZ • On-site, Remote

$110K - $180K/yr

Other

Posted 22 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