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

Lead Engineer

Kings Mountain, NC · On-site

$97K - $143K/yr

The position also provides daily engineering support for machining, heat treat, and assembly operations to ensure production meets demand. This role is accountable for upholding Eaton's safety and ...

Understanding of prompt engineering, fine-tuning, and leveraging Machine Learning models (e.g., Generative AI, Agentic AI, LLMs) to automate tasks and enhance system configurations * Proficiency in ...

Senior Maintenance Engineer

Newton, NC · On-site

$97K - $134K/yr

Corning Incorporated is seeking a highly skilled and experienced Senior Maintenance Engineer to support and enhance the reliability of industrial machinery and facility systems across our operations.

Senior Maintenance Engineer

Newton, NC · On-site

$91K - $125K/yr

Corning Incorporated is seeking a highly skilled and experienced Senior Maintenance Engineer to support and enhance the reliability of industrial machinery and facility systems across our operations.

Senior Maintenance Engineer

Newton, NC · On-site

$91K - $125K/yr

Corning Incorporated is seeking a highly skilled and experienced Senior Maintenance Engineer to support and enhance the reliability of industrial machinery and facility systems across our operations.

GENERAL PURPOSE Under immediate supervision, applies standard engineering principles, concepts, theories, and techniques to routine assignments in support of business objectives and will be ...

GENERAL PURPOSE Under immediate supervision, applies standard engineering principles, concepts, theories, and techniques to routine assignments in support of business objectives and will be ...

The City Engineer serves as the principal engineering specialist, responsible for integrating services within and among Utilities, Public Works, and Developmental Services functions. The City ...

Sr DCS Engineer

Stanley, NC

$100K - $138K/yr

The Senior Engineer manages work in engineering areas of specialization, with minimal supervision. The Senior Engineer or Engineer III is expected to develop advanced skills and to have the ability ...

Sr DCS Engineer

Stanley, NC · On-site

$100K - $138K/yr

The Senior Engineer manages work in engineering areas of specialization, with minimal supervision. The Senior Engineer or Engineer III is expected to develop advanced skills and to have the ability ...

Staff Engineer

Newton, NC · On-site

$60K - $75K/yr

Utilities and Engineering Opening Date: 05/22/2026 Closing Date: 6/19/2026 11:59 PM Eastern New as of 01/01/2026: Your well-being matters from the start - benefited new hires are eligible for up to ...

Lead DCS Engineer

Stanley, NC · On-site

$98K - $129K/yr

The Lead Engineer is at the specialist level of the Engineering classification hierarchy. Employees at this level solve complex problems, manage work , and provide leadership to others in engineering ...

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Showing results 1-20

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.
Lead Engineer

Lead Engineer

Eaton

Kings Mountain, NC • On-site

$97K - $143K/yr

Full-time

Medical, Retirement

Posted 14 days ago


Eaton rating

7.5

Company rating: 7.5 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

247th of 518 rated manufacturers


Job description

Eaton's IS VEH VGNA division is currently seeking a Lead Engineer. This is a full time, on-site position supporting our Kings Mountain, NC manufacturing facility. Relocation assistance is available to those within the US/PR.
The Lead Engineer is responsible for designing, implementing, improving, and maintaining processes across all areas of responsibility in support of customer requirements. This includes researching and developing new technologies and techniques, as well as coordinating new product launches. The position also provides daily engineering support for machining, heat treat, and assembly operations to ensure production meets demand.
This role is accountable for upholding Eaton's safety and quality standards and is expected to demonstrate strong leadership for engineers, engineering technicians, and operators. This position provides training and technical guidance as needed and collaborates with maintenance personnel to troubleshoot and diagnose equipment issues. Additionally, the Lead Engineer must align with departmental and plant objectives related to safety, quality, delivery, inventory, and productivity.
The expected annual salary range for this role is $97000 - $143000 a year.
Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.
Eaton announced, on January 26, 2026, the intent to separate its Mobility Group (including both the Vehicle and eMobility segments) into an independent, publicly traded company. We expect to complete the separation by the end of the first quarter of 2027. The compensation and benefits that will initially be offered for this position are based on Eaton's plans, programs and practices. If you are offered and accept this position and are actively employed by the Mobility Group when the spinoff closes, the new company will provide further details to employees concerning compensation and benefits at that time.
What you'll do:
  • Monitor, improve and maintain processes in area of responsibility for the Kings Mountain facility through:
    • Development of processes
    • Updating work instructions, posted references, process alerts, control plans, standard work, & related documents
    • Improving the reliability and capability of equipment
    • Evaluating related processes for efficiency, waste reduction, and work balancing (Lean tools: VSM, 5S, SW, TPM, SUR, LMF, Problem Solving, etc)

  • Implementation of change through:
    • Evaluation of change notifications and a quick understanding of the impact to processes
    • Project management of cross functional teams for process changes and necessary training
    • Evaluate, improve and update PFMEAs per APQP guidelines, Work Instructions and Work-Station Risk Assessments
    • Developing improved fail-safe strategies through part design, 3D printing and testing
    • Perform root cause analysis and implement corrective actions to help drive continuous improvement

  • Active member of a cross functional Flow Line team to meet Value Stream goals and objectives
  • Work with operations, engineering technicians and maintenance technicians on day-to-day trouble shooting of production issues
  • Support new equipment installations as needed working with suppliers and producing required documentation for new equipment. (Capability studies, Programs, First piece PPAP submittal)
  • Maintain, modify, and create new and existing PLC, Robot and CNC programs for various types of equipment such as lathes, Grinders, and mills with various types of CNC controls resulting in a high level of quality
  • Support Industry 4.0 Automation initiatives for new equipment
  • Advanced understanding and troubleshooting of mechanical, electronic equipment and processes

Qualifications:
Required Basic Qualifications:
  • Minimum Bachelors Degree in Engineering from an accredited institution
  • Minimum five (5) years experience in a manufacturing environment
  • Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any "CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc."

Preferred Qualifications:
  • Experience with PLC, Robotic programming, and CNC experience
  • Gear manufacturing experience
  • Knowledge of Industry 4.0, Automation and Additive Manufacturing
  • Experience with AutoCad
  • Project Management experience

Additional Information:
  • Working knowledge and experience manufacturing, specifically, knowledge and operation of CNC machining, Lean tools, assembly, blueprint reading, measurement systems, and working within a structured team environment.
  • Knowledge of the financial side of the business, specifically, departmental budgets, capital planning, profit plan, and production measurement systems.
  • Design experience in ProEngineer or related CAD systems.
  • 3D printing experience.
  • Understanding of PLC related logic and controls.
  • Capability to conduct time studies and implement solutions for bottleneck improvements and line balancing.
  • Knowledge of statistical methods used to analyze process variations.
  • Knowledge of environmental laws and O.S.H.A. rules and regulation.

All positions may require participation in video and in-person interviews as part of the hiring process. All candidates will be evaluated based on job-related competencies, and all candidates' privacy rights and data security will be protected in accordance with applicable laws.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.
You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.
To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.
We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

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About Eaton

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US