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Generative Ai Phd Jobs in Michigan (NOW HIRING)

Eccalon LLC

AI Expert- Software

Detroit, MI

Master's degree or PhD in AI, Machine Learning, or a related discipline. * Experience working with large language models (LLMs) and generative AI tools. * Familiarity with cloud platforms (AWS, Azure ...

General Motors

AI/ML Senior Researcher

Warren, MI · On-site

$92K - $117K/yr

What You Need * PhD or advanced degree in Computer Science, Machine Learning, Artificial ... learning, LLMs, generative AI, world models, and physics-based machine learning. * Strong ...

General Motors

AI/ML Senior Researcher

Warren, MI · On-site

$92K - $117K/yr

What You Need * PhD or advanced degree in Computer Science, Machine Learning, Artificial ... learning, LLMs, generative AI, world models, and physics-based machine learning. * Strong ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

... using Generative AI, Agentic Workflows, Machine Learning, and Statistics. Our goal is to drive ... Master's or PhD in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Master's or PhD in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or ... on Generative AI/LLM applications and traditional Machine Learning. * 2+ years of hands-on ...

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Generative Ai Phd information

What is a generative AI PhD?

A Generative AI PhD is a doctoral program focused on researching and developing artificial intelligence systems that can generate new content, such as text, images, music, or code. Students in this program study advanced machine learning techniques, including deep learning, neural networks, and probabilistic models. The goal is to push the boundaries of what AI can create, leading to innovations in fields like natural language processing, computer vision, and creative arts. Graduates often pursue careers in academia, research labs, or tech companies working on cutting-edge AI technologies.

What are the key skills and qualifications needed to thrive as a generative AI PhD?

To thrive as a Generative AI PhD, you need deep expertise in machine learning, mathematics, and computer science, typically supported by a doctoral degree in a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with large-scale data and cloud computing are essential. Strong research acumen, critical thinking, and the ability to clearly communicate complex ideas are vital soft skills for success in academic or industry settings. These skills drive innovative research, enable effective collaboration, and ensure impactful contributions to the rapidly evolving field of generative AI.

What are some common challenges faced when transitioning from academic research to an industry role as a generative AI PhD?

One common challenge is adapting to faster-paced project timelines, as industry work often emphasizes practical results and product integration over long-term theoretical exploration. Additionally, collaboration across multidisciplinary teams—including software engineers, product managers, and designers—requires strong communication skills to translate complex research into actionable solutions. Many new hires also find it necessary to balance advancing the state-of-the-art with addressing immediate business needs, which can shift the focus from pure research to more applied problem-solving.

What is the difference between Generative Ai Phd vs Machine Learning Engineer?

AspectGenerative Ai PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, industry projects
Employer & Industry UsageAcademic institutions, research firms, AI labsTech firms, software companies, AI product teams

Generative Ai Phds focus on advanced research, developing new models and theories in AI, often working in academic or research settings. Machine Learning Engineers implement AI models into products, working in industry environments to develop scalable solutions. While both roles require strong AI knowledge, the PhD emphasizes research depth, whereas the Engineer emphasizes application and deployment.

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For Generative Ai Phd jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Generative Ai Phd jobs in Michigan look for?

The top searched job categories for Generative Ai Phd jobs in Michigan are:

What cities in Michigan are hiring for Generative Ai Phd jobs?

Cities in Michigan with the most Generative Ai Phd job openings:

Generative Ai Phd jobs near you

AI Expert- Software

Eccalon LLC

Detroit, MI

Full-time

Re-posted 29 days ago

Job description

AI Expert – Software

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.

Job Description

The AI Expert – Software Engineering is responsible for designing, developing, and integrating artificial intelligence capabilities into production-grade software systems. This role blends deep AI/ML expertise with strong software engineering practices to build scalable, secure, and maintainable AI-enabled applications across enterprise and mission-critical environments.

Responsibilities

  • Design and develop AI-enabled software applications and platforms
  • Integrate machine learning models, LLMs, and AI services into backend and full-stack systems
  • Develop, test, and deploy AI solutions using modern software engineering best practices
  • Build and maintain data pipelines, APIs, and AI-driven services
  • Collaborate with software engineers, data scientists, DevOps, and product teams
  • Ensure AI solutions are scalable, secure, explainable, and production-ready
  • Perform model evaluation, performance tuning, and continuous improvement
  • Support cloud-based deployment and monitoring of AI systems
  • Document system architecture, models, and development processes

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • 5+ years of professional software development experience.
  • Strong programming skills in Python and at least one additional language (Java, C++, or JavaScript).
  • Hands-on experience integrating AI/ML models into software applications.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience building APIs, microservices, or backend systems.
  • Strong understanding of software architecture, version control, and CI/CD practices.

Preferred Qualifications

  • Master’s degree or PhD in AI, Machine Learning, or a related discipline.
  • Experience working with large language models (LLMs) and generative AI tools.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and AI deployment pipelines.
  • Experience with MLOps, model monitoring, and lifecycle management.
  • Background supporting government, defense, or regulated environments.
  • Ability to obtain and maintain a security clearance if required by contract.
Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017

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