ZipRecruiter

Log In

1

Ai Math Jobs in Davison, MI (NOW HIRING)

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Strong analytical and mathematical foundation relevant to ML systems. * Experience designing ... Master's degree in AI, Machine Learning, Computer Science, Statistics, or a related field (or ...

Stellantis

Principal AI Engineer

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong analytical and mathematical foundation relevant to ML systems. * Experience designing ... Master's degree in AI, Machine Learning, Computer Science, Statistics, or a related field (or ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

... AI delivery possible Basic Qualifications: * Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field * 8 years of ...

Stellantis

Solution Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

This is a role on the "PDT AI Solutions Program Team". The team is responsible for spreading and ... physics, mathematics, ...) * Ability to work across teams. * Ability to build agreement.

Stellantis

Solution Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a role on the "PDT AI Solutions Program Team". The team is responsible for spreading and ... physics, mathematics, ...) * Ability to work across teams. * Ability to build agreement.

Stellantis

Product Manager

Auburn Hills, MI · On-site

This is a role on the "PDT AI Solutions Program Team". The team is responsible for spreading and ... g. physics, mathematics, ...) * A degree in business administration or related experience.

Stellantis

Product Manager

Auburn Hills, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a role on the "PDT AI Solutions Program Team". The team is responsible for spreading and ... g. physics, mathematics, ...) * A degree in business administration or related experience.

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AI delivery possible Basic Qualifications: * Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field * 8 years of ...

Social Influence LLC

Bindery Operator

Flint, MI · On-site

$18 - $24/hr

The ability to perform basic math calculations is essential. 1st shift: 7 am to 3 pm 2nd shift: 3pm to 11 pm 3rd shift: 11pm to 7am We may use artificial intelligence (AI) tools to support parts of ...

Social Influence LLC

Folder Operator

Flint, MI

$18 - $24/hr

The ability to perform basic math calculations is essential. $18 - $24 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Social Influence LLC

Bindery Operator

Flint, MI · On-site

$18 - $24/hr

The ability to perform basic math calculations is essential. 1st shift: 7 am to 3 pm 2nd shift: 3pm to 11 pm 3rd shift: 11pm to 7am $18 - $24 an hour We may use artificial intelligence (AI) tools to ...

Social Influence LLC

Bindery Operator

Flint, MI

$18 - $24/hr

The ability to perform basic math calculations is essential. 1st shift: 7 am to 3 pm 2nd shift: 3pm to 11 pm 3rd shift: 11pm to 7am $18 - $24 an hour We may use artificial intelligence (AI) tools to ...

next page

Showing results 1-20

All JobsAi Math JobsAi Math Jobs in Davison, MI

Ai Math information

See Davison, MI salary details

$20.4K

$53.3K

$85.6K

How much do ai math jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai math in Davison, MI is $53,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,800.00 and $63,400.00 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 cities near Davison, MI are hiring for Ai Math jobs?

Cities near Davison, MI with the most Ai Math job openings:

Ai Math jobs near you

Principal AI Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 13 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models (LLMs) to lead the design, development, and deployment of enterprise-grade AI-powered automation systems across the organization.
This role goes beyond experimentation. You will own and deliver production-scale AI solutions, analyze complex internal workflows, identify high-value automation opportunities, and architect intelligent systems that materially improve efficiency, accuracy, and scalability.
This position is ideal for a seasoned engineer (10+ years) who combines strong technical depth, architectural judgment, and a product mindset, and who enjoys building practical, high-impact AI systems used at scale.
KEY RESPONSIBILITIES:
  • Lead the design, development, and deployment of LLM-based automation solutions across multiple business functions.
  • Work closely with cross-functional teams to define problem statements, data requirements, system boundaries, and solution approaches.
  • Architect and implement end-to-end LLM systems, including:
    • Prompt pipelines
    • Agent-based architectures
    • Retrieval-Augmented Generation (RAG) systems
    • Internal AI services and APIs
  • Integrate commercial and open-source LLMs (e.g., OpenAI, Anthropic, Databricks, open-source models) into enterprise systems and products.
  • Drive model evaluation, prompt optimization, and system reliability improvements based on real-world usage.
  • Establish and maintain monitoring, logging, and evaluation frameworks for LLM-driven applications.
  • Partner with product, operations, security, and engineering teams to map workflows and identify high-ROI automation opportunities.
  • Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and governance.
  • Act as a technical mentor and thought leader, setting best practices for LLM engineering and applied AI.
  • Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research-and translate them into pragmatic solutions.

Basic Qualifications:
  • Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field
  • A minimum of 8 years of professional experience in software engineering, AI, or machine learning, including a minimum of 3 years of significant hands-on work on LLM-based systems.
  • Proven, production experience with Large Language Models, including:
    • Prompt engineering and prompt optimization
    • Model integration and orchestration
    • Evaluation and reliability tuning
  • Strong proficiency in Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, LangChain, similar ecosystems).
  • Solid background in deep learning and applied machine learning.
  • Strong analytical and mathematical foundation relevant to ML systems.
  • Experience designing systems that balance performance, scalability, cost, and accuracy.
  • Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders.
  • Strong written and spoken English.

Preferred Qualifications:
  • Master's degree in AI, Machine Learning, Computer Science, Statistics, or a related field (or equivalent professional experience).
  • PhD or additional advanced degree in AI, Machine Learning, Computer Science, Statistics, or related fields.
  • Experience building meaningful visualizations and explaining model behavior and results.
  • Background in data mining, analytics, or decision-support systems.
  • Experience with regression, supervised and unsupervised learning, and applied ML in production contexts.
  • Prior experience with automotive, IoT, or large-scale industrial data.
  • Contributions to open-source projects or published technical work.
  • Experience operating AI systems under enterprise governance, security, and compliance constraints.

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply