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Machine Learning Engineer Quantization Jobs in Wilson, NC

SINNOVATEK SERVICES LLC

Automations Engineer

Middlesex, NC · On-site

$95K - $125K/yr

... machine learning models. ● Work on projects using Python, C++, or similar to interface with ... engineering logs. ● Ensure safe and organized work areas in labs and on production floors. ● ...

Incedo

Hadoop Developer

Wilson, NC · On-site

... engineer/solution architect designing and delivering large scale distributed software systems ... Optional Skills: • Experience in Machine Learning, Deep Learning, Data Science • Experience ...

Incedo

Hadoop Developer

Wilson, NC · On-site

... engineer/solution architect designing and delivering large scale distributed software systems ... Experience in Machine Learning, Deep Learning, Data Science Experience with Cloud architecture ...

Airbus

Machine Operator-Kinston, North Carolina

Goldsboro, NC · On-site

$13.25 - $15.75/hr

... learning courses focusing on ways to develop your employability, certifications, career path; as ... sketches, and engineering specifications; determines sequence of operations, number of cuts ...

Collabera

Manufacturing / Quality Engineer

Whitakers, NC

$65K - $84K/yr

... learning. Visit www.collabera.com to learn more about our latest job openings. Awards and ... the Machining PFMEA's. Individual will be involved in the review and updates of PFMEA's as well ...

Brooksource

Digital Tech Specialist

Wilson, NC · On-site

$50 - $60/hr

The ideal candidate will have a strong background in engineering, computer science, or a related ... Prior exposure to data analytics, machine learning use-cases in manufacturing, or IIoT platforms.

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Wilson, NC

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 Aug 26, 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 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 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 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:

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Wilson, NC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $112,546 per year, or $54.1 per hour.

Automations Engineer

SINNOVATEK SERVICES LLC

Middlesex, NC • On-site

$95 - $125/hr

Other

Re-posted 26 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Automations Engineer

Full Time Professional Middlesex, NC, US

3 days ago Requisition ID: 1144

Salary Range: $95,000.00 To $125,000.00 Annually

Duties and Responsibilities:
  • Assist in the design, modeling, and prototyping of process and packaging systems.
  • Support testing, assembly, and commissioning of prototypes under supervision.
  • Read and interpret mechanical drawings, electrical schematics, and process flow diagrams.
  • Specify, install, and troubleshoot sensors, actuators, and instrumentation for food manufacturing systems.
  • Participate in wiring, panel layout, and field testing activities.
  • Support integration, programming, and troubleshooting of PLC/HMI and SCADA systems.
  • Contribute to coding and testing of automation or AI-driven routines (predictive maintenance, data monitoring, optimization).
  • Assist with sensor data collection, labeling, and preprocessing for machine learning models.
  • Work on projects using Python, C++, or similar to interface with hardware systems.
  • Maintain accurate documentation including test reports, wiring diagrams, and engineering logs.
  • Ensure safe and organized work areas in labs and on production floors.
  • Participate in system commissioning and troubleshooting at customer sites when required.
  • Uphold SQF requirements including promotion of a strong & positive food safety culture
  • Active involvement in implementation, upkeep and continuous improvement of food safety as part of an interdisciplinary team
  • Stewardship for our B-corp mission to promote worldwide health and wellness by fostering the delivery of high quality, healthy foods through sustainable methods.
What You’ll Learn:
  • How to develop and test automated food manufacturing equipment
  • Machine learning integration in industrial environments
  • Industry codes, standards, and best practices (UL, CE, ISA, etc.)
  • Real-world project execution from concept to commissioning
  • Microwave and other electrical thermal processing technologies
Required:
  • Bachelor’s degree in Mechanical, Electrical, Automation, Mechatronics, Robotics, Computer Science, or a related engineering field (or graduation within 6 months).
  • Introductory experience or coursework in:
    • CAD (SolidWorks or AutoCAD)
    • Instrumentation and control systems
  • Controls integration with field devices (sensors, VFDs, flow meters, actuators).
  • Strong understanding of industrial communication protocols (EtherNet/IP, Modbus TCP, OPC UA).
  • Ability to troubleshoot electrical/automation systems in a production environment.
  • Hands-on mindset; comfortable using tools and learning in the field.
  • Strong communication, collaboration, and organizational skills.
  • Curiosity and eagerness to learn from a multidisciplinary team.
  • Active passport or ability to obtain one within the first 6 months.
Preferred (but not required):
  • Minimum of 2 years’ experience in automation, instrumentation, or controls engineering.
  • Familiarity with SCADA/HMI systems (Ignition, Wonderware, or WinCC).
  • Experience with data collection and integration from PLC/SCADA systems into historians, MES, or
  • Working knowledge of machine learning concepts and data analytics (TensorFlow, PyTorch, scikit-
  • learn, SQL).
  • Practical applications of ML in industrial settings (predictive maintenance, anomaly detection, process optimization).
  • Experience developing middleware or APIs to connect automation platforms with data pipelines.
  • Prior internships, capstone projects, or personal projects involving automation, robotics, or controls.
  • Basic electronics experience (soldering, sensor setup, instrumentation wiring).
  • Knowledge of OSHA safety standards and industrial safety practices.
  • Experience in food & beverage or other regulated manufacturing environments is a plus.
Physical Requirements:
  • Ability to work on the floor in a manufacturing setting; frequent walking and standing required.
  • Ability to work in hot, cold, or wet environments.
  • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus.
  • Flexibility to alternate between hands‑on manufacturing work and office‑based programming/data analysis.
  • Comfortable working in environments with shifting priorities and ambiguity.
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