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Machine Learning Engineer Jobs in Hickory, NC (NOW HIRING)

Machine Vision Engineer

Hickory, NC · On-site

$88K - $121K/yr

Role Purpose We are seeking a Machine Vision Engineer to support the development, design, and ... Artificial intelligence and machine learning applied to vision systems. This position does not ...

Role Purpose We are seeking a Machine Vision Engineer to support the development, design, and ... Artificial intelligence and machine learning applied to vision systems. This position does not ...

Machine Vision Engineer

Hickory, NC · On-site

$88K - $121K/yr

Role Purpose We are seeking a Machine Vision Engineer to support the development, design, and ... Artificial intelligence and machine learning applied to vision systems. This position does not ...

... Machine Vision Engineer to develop and deploy machine vision and PC-based control solutions that ... Experience with deep learning vision NEW tools such as Cognex ViDi NEW , MVTec MERLIC NEW , Azure ...

Ingeniero DevOps

Alexis, NC

$49.25 - $67.50/hr

... Marketing Digital, Machine Learning, Ingenieria y desarrollo del Software. Devoteam ha sido ... Experiencia practica en el diseno y ejecucion de pipelines de CI/CD (idealmente con Azure DevOps). ...

Cloud Engineer

Alexis, NC

$52.25 - $69.75/hr

... Marketing Digital, Machine Learning, Ingenieria y desarrollo del Software. Devoteam ha sido ... a Cloud Engineer para incorporarse a nuestro equipo de manera estable y en modalidad 100 ...

Advanced data analytics, Machine learning and AI-enabled workflows, Vision systems, and Process ... Bachelor's or master's degree in engineering, Computer Science, Physics, or related technical field

Advanced data analytics, Machine learning and AI-enabled workflows, Vision systems, and Process ... Bachelor's or master's degree in engineering, Computer Science, Physics, or related technical field

New

... Marketing Digital, Machine Learning, Ingenieria y desarrollo del Software. Devoteam ha sido ... Mentalidad DevOps + seguridad (control de versiones, CI/CD y desarrollo seguro). VALORABLE:

PLC Controls Engineer

Hickory, NC · On-site

$69K - $89K/yr

... after learning Client -specific standards. Key Responsibilities: • Create and modify Allen ... machine control systems. • Interface with external system integrators to successfully deliver ...

Cloud, BI, Data Analytics, Excelencia en Procesos de Negocio, Gestion de la Relacion con clientes, Ciberseguridad, Marketing Digital, Machine Learning, Ingenieria y desarrollo del Software. Devoteam ...

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Machine Learning Engineer information

See Hickory, NC salary details

$28.2K

$115.3K

$173.2K

How much do machine learning engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for machine learning engineer in Hickory, NC is $115,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $138,800.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Hickory, NC? The most popular types of Machine Learning Engineer jobs in Hickory, NC are:
What are popular job titles related to Machine Learning Engineer jobs in Hickory, NC? For Machine Learning Engineer jobs in Hickory, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Hickory, NC look for? The top searched job categories for Machine Learning Engineer jobs in Hickory, NC are:
What cities near Hickory, NC are hiring for Machine Learning Engineer jobs? Cities near Hickory, NC with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Hickory, NC as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,291 per year, or $55.4 per hour.
Machine Vision Engineer

$88K - $121K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

80th of 518 rated manufacturers


Job description

Machine Vision Engineer

Date: May 12, 2026

Location: Hickory, NC, US, 28601

Company: Corning

Requisition Number: 73507

**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

We are seeking a Machine Vision Engineer to support the development, design, and debugging of machine vision hardware and software used in advanced automation and inspection systems. This role blends vendor-specific vision platforms with custom PC-based software and requires close collaboration with cross-functional engineering teams. The successful candidate will also provide technical guidance in areas such as optics selection and rapid prototyping while serving as a technical contributor throughout the full system lifecycle.

Key Responsibilities

  • Collaborate with team leaders to identify, define, and document machine vision requirements.

  • Generate, evaluate, and select machine vision concepts in partnership with the automation team.

  • Apply rapid prototyping, engineering analysis, and fundamental principles to select appropriate vision techniques, algorithms, and hardware.

  • Work closely with mechanical and electrical engineers to integrate machine vision hardware into automation designs.

  • Develop and maintain software for machine vision applications.

  • Debug, test, and lead resolution of machine vision design or manufacturing issues.

  • Present project results through internal reports and technical presentations to peers, managers, and customers.

  • Act as a safety advocate and role model, ensuring all work is performed in a safe manner and environment.

  • Document inventions and novel design concepts in accordance with company standards.

Required Qualifications

Education:

Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, Optics, Physics, or a related field.

Experience:

2+ years of combined engineering, manufacturing experience or Military experience in a technical role.

Required Skills & Competencies

  • Understanding of the full engineering design lifecycle, from requirements through deployment.

  • Ability to work effectively with cross-functional teams to gather, align on, and present technical requirements and solutions.

  • Knowledge of machine vision system integration within automated machinery.

  • Experience selecting machine vision components including optics, cameras, lighting, and interfaces.

  • Familiarity with at least one rapid prototyping platform for machine vision hardware and algorithms.

  • Strong object-oriented programming skills in at least one C-based language.

  • Experience with at least one PC-based machine vision library.

  • Strong mathematical foundation, including linear algebra, signal processing, and modeling.

  • Solid understanding of software engineering principles.

  • Excellent technical documentation skills, including written content and diagrams.

  • Proficiency with Microsoft Excel, Word, and PowerPoint.

Desired Skills

  • Experience with Cognex or Keyence vision systems.

  • Programming experience in C# and/or C++.

  • HALCON vision programming.

  • MATLAB and/or Python.

  • Optical modeling experience.

  • UML design methods.

  • OpenCV.

  • Artificial intelligence and machine learning applied to vision systems.

This position does not support immigration sponsorship.

The range for this position is $88,522.00 - $121,718.00 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.

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, Corning provides company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay.

  • 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.

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.

Nearest Major Market: Hickory


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