ZipRecruiter

Log In

1

Machine Learning Ai Intern Jobs in Kentucky (NOW HIRING)

next page

Showing results 1-20

All JobsMachine Learning Ai Intern JobsMachine Learning Ai Intern Jobs in Kentucky

Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Intern, and why are they important?

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

What cities in Kentucky are hiring for Machine Learning Ai Intern jobs? Cities in Kentucky with the most Machine Learning Ai Intern job openings:
Machine Learning Ai Intern jobs near you
Staff Machine Learning Engineer - Generative AI

Staff Machine Learning Engineer - Generative AI

Xometry

Lexington, KY • Hybrid

Other

Posted 13 days ago

Job description

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.

Responsibilities: 

  • Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
  • Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace.
  • Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
  • Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
  • Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets.
  • Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale.
  • Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
  • Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
  • Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications: 

  • Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
  • Hands-on experience with multimodal data (text, images, 3D).
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
  • Solid grounding in probability, statistics, and optimization for generative modeling.
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
  • Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more.
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance)

#LI-Hybrid

Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

View All Xometry Jobs

Apply