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Phd Math Artificial Intelligence Jobs (NOW HIRING)

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the ... Masters or PhD in Computer Science Statistics Mathematics or a related field. * Proficiency in ...

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How much do phd math artificial intelligence jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for phd math artificial intelligence in the United States is $25.44, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $29.09 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD-level professional in Mathematics and Artificial Intelligence, and why are they important?

To excel as a PhD-level professional in Mathematics and Artificial Intelligence, you need advanced mathematical knowledge, research expertise, and a doctoral degree in a related field. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience in data analysis tools are typically required. Exceptional problem-solving, critical thinking, and the ability to communicate complex ideas clearly set top candidates apart. These competencies are crucial for driving innovative research, developing robust AI models, and collaborating effectively within interdisciplinary teams.

What does a PhD in Mathematics specializing in Artificial Intelligence involve?

A PhD in Mathematics specializing in Artificial Intelligence involves advanced research at the intersection of mathematical theory and AI technologies. Students work on developing new algorithms, mathematical models, and theoretical frameworks that drive advances in machine learning, data science, and related fields. The program typically includes coursework in higher-level mathematics, probability, statistics, and computational methods, as well as original dissertation research that contributes new knowledge to both mathematics and artificial intelligence.

What are some typical interdisciplinary collaborations for someone in a PhD Math Artificial Intelligence role?

Professionals in a PhD Math Artificial Intelligence role frequently collaborate with experts from computer science, engineering, data science, and even domain specialists in fields like healthcare or finance. These collaborations often involve working in research teams to develop and validate new AI algorithms, interpret mathematical models, and solve complex, real-world problems. This interdisciplinary environment provides opportunities to learn from other fields, contribute mathematical rigor to AI research, and broaden your impact across various industries. Effective communication and teamwork are essential as you bridge the gap between theoretical mathematics and practical AI applications.

What is the difference between Phd Math Artificial Intelligence vs Data Scientist?

AspectPhd Math Artificial IntelligenceData Scientist
Required CredentialsPhD in Math, AI, or related field; strong programming skillsBachelor's or Master's in CS, Statistics, or related; some may have PhDs
Work EnvironmentResearch labs, academia, R&D departments in tech companiesBusiness settings, tech companies, consulting firms
Employer & Industry UsageUniversities, research institutions, AI-focused companiesCorporate, finance, healthcare, e-commerce
Common Search & ComparisonFocus on theoretical research, algorithm developmentData analysis, model building, business insights

While both roles involve data and algorithms, a Phd Math Artificial Intelligence typically emphasizes advanced research and theoretical development in AI, often within academic or research settings. In contrast, a Data Scientist applies data analysis and modeling skills to solve practical business problems across various industries.

Infographic showing various Phd Math Artificial Intelligence job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $52,911 per year, or $25.4 per hour.
Intermediate Artificial Intelligence Analyst

Intermediate Artificial Intelligence Analyst

Chenega MIOS SBU

Arlington, VA • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
Chenega MIOS is a company that supports large-scale government operations by leveraging cutting-edge technology. The Intermediate Artificial Intelligence Analyst provides scientific, engineering, and technical expertise in AI to support Army technology initiatives.
Responsibilities:
• Analyze, evaluate, revise, and/or generate draft artificial intelligence documentation for Government review and approval, including policy documents, letters of agreement, memoranda of understanding, Mission Needs Statements, Concepts of Operation (ConOps), Operational Requirements Documents, system specifications, Test and Evaluation Master Plans, and training documentation.
• Conduct research activities for exploratory and advanced AI projects to advance technological capabilities.
• Evaluate industry, outside agencies, and university technologies for applicability to Army Intelligence AI and adopt technologies as appropriate.
• Develop and evaluate AI and data system requirements to determine technical feasibility and functional adequacy for current and future systems.
• Have a clear understanding of the MLOps pipeline to support an end-to-end workflow that manages the entire lifecycle of machine learning models—from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
• Integrate emerging technological advances and evolving Army materiel requirements into the execution of technical tasks.
• Maintain direct and continuing technical liaison with Government offices, laboratories, contractors, and academic institutions in the AI technical domain.
• Provide support for studies, technology evaluations, and the development, review, and maintenance of policy, technical, and doctrinal documentation, repositories, and databases.
• Support the planning, management, and execution of representative systems and associated technical activities.
• Participate in conferences, briefings, meetings, working groups, and teams, including the creation and delivery of high-quality briefing materials and tracking of action items.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s of Science in a Science, Technology, Engineering, or Math field and 15+ years of experience OR
• Master’s of Science in a Science, Technology, Engineering, or Math field and 10+ years of experience OR
• PhD of Science in a Science, Technology, Engineering, or Math field and 5+ years of experience
• Active TS/SCI clearance required
• Demonstrated knowledge of AI, including feasibility analysis and performance requirements
• Deep understanding of Machine Learning (ML) lifecycle
Preferred:
• AWS Certified AI Practitioner or comparable certification
Company:
Chenega MIOS (Military, Intelligence, and Operations Support) brings together a family of high‑performing companies united by a common purpose: supporting the most critical missions of the federal government, the Department of Defense, and the Intelligence Community. Founded in 2010, the company is headquartered in Lorton, VA, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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