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Machine Learning Engineer Quantization Jobs in Wilson, NC

Dormakaba

Product Manager - Keys

Rocky Mount, NC · Hybrid

... Learning courses to assist in your professional development and to expand on your individual ... cloning and programming devices, residential keys' duplication solutions, key machines for ...

New

CBRE

Maintenance Technician

Smithfield, NC · On-site

As a Mechatronics and Robotics Technician, you'll maintain and troubleshoot machines used in a ... Provide technical feedback to reliability and engineering partners on recurring failure points Core ...

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Showing results 41-49

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 6, 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:
Machine Learning Engineer Quantization jobs near you
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.

Product Manager - Keys

Dormakaba

Rocky Mount, NC • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Dormakaba Americas rating

7.1

Company rating: 7.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

112th of 156 rated electronics manufacturers

Job description

Product Manager – Keys

Position Overview

The Product Manager is a business-oriented role focused on ensuring the smooth launch of new product features while maintaining the high standards of existing products. You will drive the product lifecycle from planning to execution in support of organizational strategy and objectives. Your work Includes analyzing product requirements, testing, debugging, and identifying enhancements to current features and functionality. As a Product Manager, you will compile and evaluate research to establish marketing strategies, including product direction, advertising, packaging, pricing, profit plans and future product development.

What You Will Do

  • Develops, manages and achieves sales and gross margin budget for keys product lines – flat and automotive keys
  •  Drives, manages and oversees sales volumes to meet and exceed budget
  • Sets and modifies pricing to meet revenue and profitability goals to drive company success
  • Drives and develops the marketing plans and long term business plans to maximize sales performance
  •  Oversees the product life cycle 
  • Creates marketing strategies including advertising, packaging, pricing, budgets, margins and future new product development to meet market needs
  • Analyzes the North American market, anticipates trends, and recognizes business opportunities and provides synthesis of market intelligence
  • Supports sales, customer and tech services with the necessary product knowledge and technical expertise
  • Drives brand and key category development in North America
  • Analyzes new product viability including sales volume potentials, number of sku’s and cost of goods
  • Provides feedback of market information to the technical department providing basis for competitors’ benchmark and innovation
  • Performs additional tasks as assigned

What We Require

  • Bachelor’s degree in Business Administration, Marketing, Supply Chain, Engineering, or related field.
  • Experience in product management support, project coordination, or commercial operations
  • Proven experience tracking tasks and managing workflows using Jira, Asana, or equivalent project management software
  • Experience with Technical, Analytical and Project Management scope and capabilities
  • Proficiency with Microsoft Excel (VLOOKUPs, pivot tables) for maintaining accurate product, pricing, and inventory data
  • Interpersonal skills to effectively share product information cross-functionally and manage relationships with internal and external stakeholders
  • Demonstrated experience assisting with product launches, marketing collateral creation, and trade show execution
  • Ability to quickly learn the technical nuances of the KCM portfolio to successfully evaluate and escalate product performance issues.
  • Willingness to Travel: Approximately 20%–30% of the time

What We Prefer

  • Prior background working with automotive, technical, or specialized portfolio products
  • Experience with inventory forecasting, replenishment modeling, and demand planning.

Ways of Working

  • This position is onsite/hybrid in Rocky Mount, North Carolina.
  • Schedule: Monday to Friday, with occasional weekend or holiday support as needed

What We Offer

• Taking Care of our Employees with Medical, Dental, Vision, Life and Disability Insurance coverage options. 

• Your health is our priority, we offer Medical Wellness Programs to aid in your well-being.

• Vacation and Personal Time Off

• We support your growing family; we provide Parental Leave for Moms and Dads!

• Wisely plan for your future with our 401k Matching plan beginning on Day One.

• Supporting your career development with our Tuition Reimbursement Program.

• Robust culture supporting internal advancement with our Learn and Grow Program. 

• 24/7 access to over 15,000 LinkedIn Learning courses to assist in your professional development and to expand on your individual interests.

• Employee Assistance Programs

• Unlimited Referral Reward Bonuses

• Corporate Discounts for shopping, travel and more!

WHY JOIN DORMAKABA?

Advanced Diagnostics, Ilco and Silca, comprise the Key Systems business unit of the parent Group dormakaba. Key Systems is the global leader in the Locksmithing and Automotive locksmithing industry and first key-blanks manufacturer, providing to our customers worldwide the latest technology and an outstanding know how. The uniquely extensive range of products and solutions – such as vehicle keys cloning and programming devices, residential keys’ duplication solutions, key machines for professionals – is distributed in more than 130 countries, with a tailored presence of our three leading brands by channel and country.

At Kaba Ilco, we believe in diversity, equal opportunity, and the power of our values to drive our success. We are committed to providing a workplace that fosters inclusion and where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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