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Machine Learning Engineer Intern Jobs in Kentucky

S27a

$140 - $210/hr

Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement. * Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.

Moody's Investors Service

$96 - $139/hr

Expertise in Python programming, including machine learning libraries such as NumPy, Pandas, and PyTorch * Experience with machine learning operations practices, including continuous integration and ...

New

Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...

Posted today

Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...

Posted today

Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...

Posted today

Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...

Posted today

Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... This is a general posting for multiple intern roles open across our various ML teams. You can find ...

Posted today

TeleWorld Solutions Inc

$120 - $190/hr

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements.

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Kentucky

Machine Learning Engineer Intern information

See Kentucky salary details

$22.1K

$37K

$76.4K

How much do machine learning engineer intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning engineer intern in Kentucky is $36,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,200.00 and $40,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Kentucky?

The most popular types of Machine Learning Engineer jobs in Kentucky are:

What are popular job titles related to Machine Learning Engineer Intern jobs in Kentucky?

For Machine Learning Engineer Intern jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Kentucky look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Kentucky are:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,985 per year, or $17.8 per hour.

Machine Learning Engineer

S27a

On-site

$140 - $210/hr

Other

Posted 17 days ago

Job description

Responsible for developing next-generation AI systems designed to simplify task automation for users. This role involves designing, evaluating, deploying, and maintaining AI solutions, utilizing both Large Language Models (LLMs) and Bardeen's custom models in areas such as semantic parsing, dialog systems, agents, and text generation. The position collaborates with engineers to integrate AI features into Bardeen's products, ensuring a high-quality user experience.

Specific duties include:

  • Research, design, and implement machine learning algorithms to optimize workflow automation.

  • Develop, test, and modify computer programs to apply machine learning models to real-world applications.

  • Research, design, and implement machine learning and AI algorithms to model real world processes, including process discovery, process conformance, and opportunity identification for automation and AI agents.

  • Develop, test, and modify computer programs that apply machine learning models to operational data sources such as event logs, clickstreams, tickets, documents, and call transcripts.

  • Design and improve methods for process and entity extraction from unstructured and semi structured data, including tasks, systems, stakeholders, and key business objects.

  • Stay familiar with and evaluate state of the art research in process mining, workflow intelligence, representation learning for events and processes, and LLM based planning and tool use, and translate it into practical enterprise solutions.

  • Perform statistical analysis and apply data mining techniques to diagnose bottlenecks, measure impact, and improve model performance and robustness in production settings.

  • Deploy machine learning models into production systems, ensuring scalability and efficiency.

  • Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement.

  • Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.

  • Prepare technical documentation and reports detailing methodologies and outcomes.

  • Utilize cloud computing platforms such as AWS and GCP to manage large-scale data processing and storage.

  • Ensure compliance with industry standards, data governance, and security protocols for machine learning applications.

Job Requirements:

Requires a Master's degree in Computational Science and Engineering, or a closely related field that focuses on Machine Learning, and 1 year of experience.

Experience must include:

  • Experience with modern deep learning models, particularly large language models (LLMs) and multimodal architectures used for understanding text, structured data, and behavioral traces.

  • Familiarity with OpenAI, Anthropic, or Hugging Face Transformers (GPT, Mistral, LLaMA, etc.).

  • Experience with Python, Hugging Face, and OpenAI, Gemini and Anthropic SDKs.

  • Experience with designing evaluation frameworks, benchmarking model variants, and measuring before/after impact.

  • Experience with production-grade data and inference infrastructure, including AWS and GCP.

  • Experience with monitoring, optimization, and scaling of LLM inference workloads across distributed systems.

  • Experience with ML and AI algorithms to model real world business processes and identification of high impact automation and AI agent opportunities.

  • Experience with using LLMs for performing statistical analysis.

Remote work is permitted. Travel is required to unanticipated locations nationwide. Travel is less than 5% of time.

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