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Machine Learning Winter Internship Jobs in Hickory, NC

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Machine Learning Winter Internship information

See Hickory, NC salary details

$22.8K

$38.1K

$78.8K

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

As of Aug 26, 2026, the average yearly pay for machine learning winter internship in Hickory, NC is $38,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,100.00 and $41,200.00 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 job categories do people searching Machine Learning Winter Internship jobs in Hickory, NC look for?

The top searched job categories for Machine Learning Winter Internship jobs in Hickory, NC are:

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

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

Machine Learning Winter Internship jobs near you

Mechatronic Engineer, System Design

Hickory, NC • On-site

NCBiotech
See more jobs at NCBiotechexternal

$82 - $112/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Requisition Number: 76061

The company built on breakthroughs. Join us.

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Role Purpose

As an engineer in systems design, you will create the next generation of manufacturing equipment—from full scale automated systems to benchtop and lab scale equipment. You’ll work in a collaborative, multi disciplinary team to develop concepts, build prototypes, and deliver safe, reliable, and innovative equipment for manufacturing.

Key Responsibilities
  • Work with business leaders and end-users to understand needs for new equipment across varying scales, including benchtop systems, semi automated stations and fully automated cells.
  • Collaborate with small technical teams often within larger projects.
  • Generate, evaluate, and select concepts based on engineering principles.
  • Collaboratively design, build and test prototypes and subsystems to validate concepts, integrating mechanical, electrical, motion, vision, and software components into cohesive systems.
  • Communicate through presentations and design reviews.
  • Provide expertise to the team responsible for building and deploying industrialized versions of the new technology into manufacturing.
  • Be a model for safe work practices, ensuring a safe environment for colleagues.
  • Document novel designs and intellectual property.
  • Travel up to 15%, typically in concentrated periods every 1–2 years.
Experiences/Education - Required
  • BS in Mechanical Engineering, Mechatronics, Computer Engineering, or related field (2–4 years’ experience), or MS with relevant internships (0–2 years’).
  • Enjoy working with diverse team members to collect, align, and communicate requirements and design approaches.
  • Strong interest in innovation, design and learning new technologies.
  • Training in engineering mechanics and electrical circuits.
  • Training or experience in programming, and the ability to learn new tools quickly.
  • Strong written communication skills, including documentation and diagrams.
  • Proficiency with Microsoft Excel, Word, and PowerPoint.
Experiences/Education - Desired
  • Advanced degree in a relevant discipline.
  • Mechanical design experience in SolidWorks.
  • Some training in object oriented programming, especially in a language like C++, C#, Java, or Rust.
  • Experience with machine vision, motion control, or vision guided motion.
  • Electrical or electronics design experience.Basic optics knowledge (e.g. photography or laser systems).
  • Experience with MATLAB and Python.

This position does not support immigration sponsorship.

The range for this position is $81,561.00 - $112,147.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

A job that shapes a life.

Corning offers you the total package.

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

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