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Machine Learning Winter Internship Jobs in Raleigh, NC

AI Engineer

Raleigh, NC · On-site

$94K - $129K/yr

... AI, Machine Learning, or Software Development (internships and academic projects are welcome). Strong programming skills in Python. Basic understanding of Machine Learning concepts and NLP.

Develop and validate machine learning models for analog design automation. * Analyze design data ... Internship/Cooperative Required Travel: Yes, 10% of the time The expected wage range for a new hire ...

Intern Audit Winter 2028

Raleigh, NC · On-site

$14.50 - $19.50/hr

Depending on local office needs, internships are available in assurance, tax, or a combination of ... learning fuels growth, and every person feels valued and supported to thrive. What We Offer Our ...

Automations Engineer

Middlesex, NC · On-site

$95K - $125K/yr

... machine learning models. ● Work on projects using Python, C++, or similar to interface with ... Prior internships, capstone projects, or personal projects involving automation, robotics, or ...

This role involves managing multiple interns who will contribute to software development along specific pathways, including a Machine Learning Operations (MLOps) pathway. This pathway will bridge ...

Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be for one or two semesters with the possibility of renewal. Note that this position is only for teaching ...

Intern Program - Engineering Pathways

Raleigh, NC · On-site

$16.25 - $21.25/hr

AI & Machine Learning -- Develop or optimize AI/ML solutions and apply technologies such as LLMs ... Arm internships require you to be currently enrolled in a college or university degree program and ...

Showing results 21-40

Machine Learning Winter Internship information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do machine learning winter internship jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning winter internship in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a machine learning winter internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

What types of projects and tasks can I expect to work on during a machine learning winter internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What are the key skills and qualifications needed to thrive as a machine learning winter intern, and why are they important?

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

What is the difference between Machine Learning Winter Internship vs Data Science Winter Internship?

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in Raleigh, NC?

For Machine Learning Winter Internship jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Machine Learning Winter Internship jobs?

Cities near Raleigh, NC with the most Machine Learning Winter Internship job openings:

Infographic showing various Machine Learning Winter Internship job openings in Raleigh, NC as of September 2026, with employment types broken down into 20% Full Time, 60% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

AI Engineer

Raleigh, NC • On-site

Winaxis
IT Services • 11 - 50 employees

$94K - $129K/yr

Full-time

Posted 6 days ago


Job description

Position : AI Engineer Experience 0–3 Years Employment Type Full-time Location Hybrid About the Role We are looking for a passionate and enthusiastic AI Engineer to join our growing AI team. This role is ideal for fresh graduates and early-career professionals who are eager to build intelligent applications using Generative AI, Large Language Models (LLMs), and Machine Learning. You will work alongside experienced engineers to develop, test, and deploy AI-powered solutions that solve real business problems. Key Responsibilities Develop and maintain AI-powered applications using modern AI frameworks. Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.). Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents. Write clean, efficient, and well-documented Python code. Integrate AI models with web applications and REST APIs. Perform prompt engineering and optimize AI model outputs. Work with structured and unstructured data for AI applications. Debug, test, and improve AI solutions based on performance metrics. Collaborate with software engineers, product managers, and designers to deliver AI features. Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. 0–3 years of experience in AI, Machine Learning, or Software Development (internships and academic projects are welcome). Strong programming skills in Python. Basic understanding of Machine Learning concepts and NLP. Familiarity with Generative AI and Large Language Models. Knowledge of AI frameworks such as LangChain, LlamaIndex, or similar is a plus. Understanding of REST APIs and JSON. Basic knowledge of SQL and databases. Familiarity with Git and version control. Strong analytical, problem-solving, and communication skills. Eagerness to learn and adapt to new AI technologies. Preferred Skills Hands-on experience with OpenAI, Gemini, Claude, or other LLM APIs. Basic understanding of Retrieval-Augmented Generation (RAG). Familiarity with vector databases such as Chroma, Pinecone, FAISS, or Weaviate. Knowledge of FastAPI or Flask. Exposure to cloud platforms such as AWS, Azure, or Google Cloud. Experience with Docker is an added advantage. Personal AI projects, hackathons, internships, or GitHub contributions. What We're Looking For Passion for Artificial Intelligence and emerging technologies. Strong curiosity and willingness to experiment with new tools. Ability to work independently and as part of a collaborative team. Good communication and documentation skills. A growth mindset and eagerness to continuously learn. What We Offer Opportunity to work on cutting-edge AI and Generative AI projects. Mentorship from experienced AI engineers. Learning and certification support. Career growth in a fast-paced AI environment. Collaborative and innovation-driven workplace. Competitive salary and benefits. Experience: 0–3 Years (Freshers are encouraged to apply) Department: Artificial Intelligence