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Machine Learning Engineer Quantization Jobs in Wilson, NC

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Machine Learning Engineer Quantization information

See Wilson, NC salary details

$27.5K

$112.5K

$169.1K

How much do machine learning engineer quantization jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning engineer quantization in Wilson, NC is $112,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $135,500.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

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

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a Machine Learning Engineer Quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

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

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What cities near Wilson, NC are hiring for Machine Learning Engineer Quantization jobs? Cities near Wilson, NC with the most Machine Learning Engineer Quantization job openings:
Infographic showing various Machine Learning Engineer Quantization job openings in Wilson, NC as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $112,546 per year, or $54.1 per hour.
Quality Control Technician - Inspector - 1st Shift

Quality Control Technician - Inspector - 1st Shift

ABB

Pinetops, NC • On-site

$17 - $21.75/hr

Full-time

Posted 14 days ago


ABB Group rating

8.4

Company rating: 8.4 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

81st of 429 rated machine equipment manufacturers


Job description

At ABB, we help industries run leaner and cleaner-and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This position reports to:
Quality Supervisor
Quality Control Technician - Inspector
Location: Pinetops, NC
Reports to:
At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. That's our story. Make it your story.
In this role, you will have the opportunity to assist the Quality team in implementing and maintaining a quality system, including conducting audits, establishing controls, training on tools and methodologies. Each day, you will support activities related to quality management within the organizational unit. You will also showcase your expertise by reporting quality Key Performance Indicators (KPIs) and customer cases and maintaining process documentation.
CORE RESPONSIBILITIES
  • Supports activities related to quality management within local organizational unit.

  • Executes and assists the local organization with quality content, tools, and systems.

  • Supports quality assurance activities in collaboration with local Production, Engineering, and other relevant functions.

  • Reports quality issues data, ensuring adherence to quality management system at all stages.

  • Acquires and reports quality metrics and KPIs accurately and in a timely manner to facilitate the analysis and management of local processes.

  • Utilizes measurement systems to produce data that reflect the accurate characteristics of materials, products, systems, and processes.

  • Performs assigned tasks in a safe manner, setting an example for others to exercise safety in their daily activities.

  • Trains local operational teams on relevant elements of quality management, supports implementation, and promotes opportunities for improvement.

  • Provides feedback to work teams based on inputs from their internal and external customers, promoting alignment between process output and customer expectations.

LICENSE TO OPERATE / CORE VALUES
  • Demonstrates ABB's core values and group safety and integrity standards and acts accordingly.

  • Implements and ensures compliance with the ABB code of conduct, global and local standards, tools, policies, and processes in their assigned area.

  • Ensures adherence to all relevant internal and statutory regulations and policies.

  • Ensures integrity and compliance with ABB values and ethics in all activities.

  • Demonstrates an understanding of Health, Safety, and Environment (HSE) terms, concept application, reporting, and risks.

  • Conducts routine audits to ensure the compliance of processes or products with established processes, procedures, standards, and specifications.

COLLABORATION / LEADERSHIP
  • Ensures adherence to the collaboration objectives of the team to maximize results for ABB.

  • Leads their own development journey by seeking knowledge and learning opportunities within the team.

  • Manages relationships with stakeholders in their own area of responsibility and ensures alignment.

  • Leads small work teams in the documentation of their processes and the implementation of quality controls to ensure consistent and predictable results.

MINIMUM KNOWLEDGE AND SKILLS REQUIRED
  • 2+ years of working in a manufacturing environment

  • High school diploma or equivalent required

  • Legal authorization to work in the US is required

  • Knowledge and use of tools - tape measure, calipers, grinders, or other hand tools, as needed.

  • Ability to safely use a ladder while performing the job, as needed

  • Ability to lift, push and pull up to 40lbs

WORKING CONDITIONS
Manufacturing plant environment requiring a combination of hands-on and technical tasks. Work may involve occasional lifting of materials, climbing stairs/ladders, and walking. Employees may be required to bend, twist, or stand for extended periods.
Frequent use of computers is necessary for data entry, monitoring, and communication. Employees will also handle a variety of tools and equipment, from hand tools to machinery, requiring technical skills and adherence to safety protocols.
Personal Protective Equipment (PPE), such as safety glasses, gloves, and steel-toed shoes, is required to ensure a safe working environment. Adhering to safety guidelines is essential for all team members.
The work environment requires physical endurance, technical proficiency, and a commitment to maintaining safety standards to contribute to a productive and rewarding workplace.
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.
Ready to make an impact?
Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

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About ABB Group

Sourced by ZipRecruiter

Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Cary, NC, US