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

Corning

Machine Vision Engineer II

Hickory, NC · On-site

$82K - $112K/yr

Use imaging and machine learning tools to automate manufacturing processes * Partner with engineering, operations, and process teams to solve plant challenges * Analyze process data and apply ...

Corning

Machine Vision Engineer II

Hickory, NC · On-site

$82K - $112K/yr

Use imaging and machine learning tools to automate manufacturing processes * Partner with engineering, operations, and process teams to solve plant challenges * Analyze process data and apply ...

Corning

Machine Vision Engineer II

Hickory, NC

$82K - $112K/yr

Use imaging and machine learning tools to automate manufacturing processes * Partner with engineering, operations, and process teams to solve plant challenges * Analyze process data and apply ...

Corning

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 ...

Corning

Machine Vision Engineer

Hickory, NC · On-site

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

Devoteam

Ingeniero DevOps

Alexis, NC · On-site

$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). ...

Devoteam

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 ...

Corning

Division Digital Manager - Cables

Newton, NC · On-site

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

Corning

Division Digital Manager - Cables

Newton, NC · On-site

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

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Machine learning, Data Warehousing Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of ...

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

... Data Engineering|Databricks Technical Skills 2 Technology|Big Data - Data Processing|PySpark ... Machine Learning, Data warehousing Additional Required Qualifications • Bachelor's degree or ...

US Conec, Ltd.

Manufacturing Engineer

Hickory, NC · On-site

$65K - $84K/yr

... learning environment. * Deliver process and equipment training to production staff as needed ... Working knowledge of machining, tooling, fixturing, and assembly practices to contribute ...

US Conec, Ltd.

Manufacturing Engineer

Hickory, NC · On-site

$65K - $84K/yr

... learning environment. * Deliver process and equipment training to production staff as needed ... Working knowledge of machining, tooling, fixturing, and assembly practices to contribute ...

DivIHN Integration Inc

PLC Controls Engineer

Hickory, NC · On-site

$69K - $89K/yr

... learning Client -specific standards. Key Responsibilities: * Create and modify Allen Bradley PLC ... Implement robust, cost-effective automation and process machine control systems. * Interface with ...

ABB

Business Analytics Manager

Denver, NC · Hybrid

... data engineering, analytics and visualization technologies for data driven insights as well as ... machine learning and generative AI to business processes and analytics use cases. Qualifications ...

ABB

Business Analytics Manager

Denver, NC · Hybrid

... data engineering, analytics and visualization technologies for data driven insights as well as ... machine learning and generative AI to business processes and analytics use cases. Qualifications ...

Devoteam

Desarrollador/a React (con Ingles)

Alexis, NC · On-site

$108K - $136K/yr

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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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Hickory, NC

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 Aug 3, 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.

What is a machine learning engineer?

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.

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.

More about Machine Learning Engineer jobs
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 cities near Hickory, NC are hiring for Machine Learning Engineer jobs? Cities near Hickory, NC with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Hickory, NC as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% 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 II

Corning

Hickory, NC • On-site

$82K - $112K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

87th of 536 rated manufacturers

Job description

Requisition Number: 76121
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.
We're Hiring: Machine Vision Engineer
We're looking for a Machine Vision Engineer to help develop and deploy vision-based solutions across multiple manufacturing plants. In this role, you'll work on projects involving quality inspection, process monitoring, automation, and data collection to improve manufacturing performance, efficiency, and throughput.
This is a great opportunity for someone with experience in manufacturing, machine vision, and/or controls who wants to grow their skills through hands-on projects, collaboration, and continuous learning.
What You'll Do
  • Design, implement, and support machine vision applications
  • Use imaging and machine learning tools to automate manufacturing processes
  • Partner with engineering, operations, and process teams to solve plant challenges
  • Analyze process data and apply optimization methods to improve performance
  • Document results and contribute to technical innovation

What We're Looking For
  • BS or MS in Computer Engineering, Computer Science, Electrical Engineering, Electrical Engineering Technology, or related field
  • 3+ experience with BS/MS degree in another engineering field is acceptable
  • 2+ years of manufacturing experience preferred
  • Programming experience in Python, C/C++, or C#
  • Experience with machine vision systems, smart cameras, or industrial vision platforms
  • Basic understanding of machine learning
  • Strong communication, problem-solving, and teamwork skills

Preferred Experience
  • Cognex, Keyence, Halcon, VisionPro, or LabVIEW
  • PLC programming, especially Allen-Bradley
  • Electrical controls systems
  • Process control, data analysis, and system modeling
  • Databricks, AWS, or Six Sigma/DMAIC

Additional Details
  • Up to 25% domestic travel
  • Typically 40 hours/week, with occasional nights or weekends based on project needs

If you're interested in applying technology to real manufacturing challenges and want to be part of a collaborative team, we'd like to hear from you.
This position does not support immigration sponsorship.
The range for this position is $82,051.00 - $112,821.00 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 accommodations@corning.com.

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