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Ai Math Jobs in Exton, PA (NOW HIRING)

Vangard, Inc.

Senior AI Scientist

Malvern, PA · On-site

About the Role This role sits at the intersection of AI safety research, LLM evaluation, and ... Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative ...

Vangard, Inc.

Senior AI Scientist

Philadelphia, PA · On-site

About the Role This role sits at the intersection of AI safety research, LLM evaluation, and ... Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative ...

Deloitte

Generative AI Data Engineer III

Philadelphia, PA · On-site

$115K - $138K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

Varsity Tutors

PRAXIS Tutor

Chester, PA · Remote

$25 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Praxis Core Academic Skills tests in Reading, Writing, and Mathematics, plus ...

Deloitte

Lead Generative AI Data Engineer III

Philadelphia, PA · On-site

$103K - $136K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

Varsity Tutors

Calculus 2 Tutor

Chester, PA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain series applications while preparing for Calculus BC and college mathematics.

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Ai Math information

See Exton, PA salary details

$21.7K

$56.8K

$91.2K

How much do ai math jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai math in Exton, PA is $56,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $67,600.00 per year, depending on experience, location, and employer.

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

What are the key skills and qualifications needed to thrive as an AI Math specialist?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What job categories do people searching Ai Math jobs in Exton, PA look for?

The top searched job categories for Ai Math jobs in Exton, PA are:

What cities near Exton, PA are hiring for Ai Math jobs?

Cities near Exton, PA with the most Ai Math job openings:

Ai Math jobs near you

Senior AI Scientist

Vangard, Inc.

Malvern, PA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Role

This role sits at the intersection of AI safety research, LLM evaluation, and applied data science. You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for application teams and business stakeholders. You will also mentor junior data scientists and contribute to the growth of our AI safety research practice.

Responsibilities

  • Design and execute adversarial evaluations of generative AI and agentic systems, probing for safety failures, policy violations, and unexpected behaviors under realistic conditions

  • Apply rigorous experimental design and statistical methodology to AI safety research questions, including evaluation of model robustness and the reliability of automated evaluation systems

  • Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation quality at scale

  • Build and maintain data pipelines to process large-scale evaluation outputs, aggregate metrics, and surface trends for research and stakeholder consumption

  • Engage directly with internal stakeholders including application teams, security analysts, and business leaders to explain findings and translate complex analytical results into clear, actionable recommendations

  • Mentor and develop junior data scientists and analysts on the team

  • Stay current with emerging literature in adversarial ML, LLM safety, and AI evaluation; contribute to the team's evolving research agenda

  • Participate in special projects and perform other duties as assigned

Qualifications

  • Minimum 5 years of experience in data science, applied ML research, or AI evaluation roles

  • Hands-on experience with large language models and agentic AI systems, with working knowledge of LLM behavior, failure modes, and safety evaluation techniques

  • Familiarity with adversarial AI concepts including jailbreaks, prompt injection, and model robustness, whether through direct research or applied work

  • Strong programming skills in Python, including experience with data pipelines, large-scale experimentation, and ML libraries such as PyTorch, Hugging Face, or Scikit-learn

  • Solid foundation in statistical reasoning and experimental design: hypothesis formulation, significance testing, and the ability to identify confounds and methodological flaws in existing analyses

  • Experience in financial services, AI safety, trust and safety, or a regulated industry is a strong plus

  • Clear, confident communication skills with the ability to explain technical findings to both research peers and non-technical stakeholders

  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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