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Machine Learning Engineer Quantization Jobs in Charlotte, NC

As an ML software developer, you will be responsible for feature development to deliver AI and machine learning solutions into our product. Your software development expertise and experience with ML ...

As an ML software developer, you will be responsible for feature development to deliver AI and machine learning solutions into our product. Your software development expertise and experience with ML ...

Machine Learning Engineer

Charlotte, NC ยท On-site

$110K - $140K/yr

Position Overview Pantheon Data is seeking a Machine Learning Engineer to join our core product team. This role focuses on the development and maintenance of Intelligent Document Processing (IDP) and ...

Machine Learning Engineer

Charlotte, NC ยท On-site

$110K - $140K/yr

Position Overview Pantheon Data is seeking a Machine Learning Engineer to join our core product team. This role focuses on the development and maintenance of Intelligent Document Processing (IDP) and ...

Machine Learning Engineer

Charlotte, NC ยท Remote

$110K - $140K/yr

Position Overview Pantheon Data is seeking a Machine Learning Engineer to join our core product team. This role focuses on the development and maintenance of Intelligent Document Processing (IDP) and ...

Senior Machine Learning Engineer

Charlotte, NC ยท On-site

$140K - $180K/yr

Position Overview We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other ...

Senior Machine Learning Engineer

Charlotte, NC ยท Remote

$140K - $180K/yr

Position Overview We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other ...

Senior AI Machine Learning Engineer

Charlotte, NC ยท Hybrid

$119.60K - $157.70K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

Sr AI Machine Learning Engineer

Charlotte, NC ยท On-site

$117.20K - $175.80K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

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Machine Learning Engineer Quantization information

See Charlotte, NC salary details

$30.8K

$125.8K

$189K

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

As of May 31, 2026, the average yearly pay for machine learning engineer quantization in Charlotte, NC is $125,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $151,400.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Machine Learning Engineer Quantization jobs in Charlotte, NC? For Machine Learning Engineer Quantization jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Charlotte, NC look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Machine Learning Engineer Quantization jobs? Cities near Charlotte, NC with the most Machine Learning Engineer Quantization job openings:
Infographic showing various Machine Learning Engineer Quantization job openings in Charlotte, NC as of May 2026, with employment types broken down into 1% Internship, 55% Full Time, 40% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 6% Hybrid, and 5% Remote job distribution, with an average salary of $125,771 per year, or $60.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

NSS

Concord, NC โ€ข Remote

Other

Posted 26 days ago


Job description

We are working on a project that tackles the problem of managing large-scale IT networks. We are seeking talented and highly motivated developers to join us in bringing this project to a larger audience.
As an ML software developer, you will be responsible for feature development to deliver AI and machine learning solutions into our product. Your software development expertise and experience with ML will play a crucial role in delivering intelligent systems that improve VAE's flagship software product, ITPIE. Together with a small machine learning team, you will be responsible to ensure the successful integration of AI/ML models into our existing software and assist in delivering expert systems through AI/ML technologies.
Our application is primarily built using .NET, using TypeScript on the frontend, PostgreSQL for data storage, and Python for ML components. The application source is hosted in GitLab, and we use GitLab CI and Git to manage our code contribution workflows.
Roles and Responsibilities
  • Integrate AI/ML models into production systems
  • Collaborate with existing team members to preprocess and analyze large datasets
  • Work with subject matter experts to build out training/testing datasets
  • Design and build tests for AI/ML solutions and data pipelines.
Things we really need
  • Proficiency in Python and .NET (C#)
  • Understanding of web transport fundamentals (HTTP, REST, WebSockets)
  • Experience building and running unit and integration tests
  • Experience with machine learning algorithms and frameworks in Python
  • United States citizenship
  • 5-8 years of software development experience with ML-related experience
Things we'd like
  • Experience with relational databases such as PostgreSQL
  • Familiarity with newer .NET machine learning offerings
  • Familiarity with Cloud environments (e.g. AWS, Azure) and offerings
  • Strong analytical and problem-solving abilities
  • Excellent communication and teamwork skills
Things that are extra cool
  • Advanced knowledge of Python ecosystem and internals
  • Advanced knowledge of .NET runtime (reflection, performance optimization)
  • Working understanding of network concepts
  • Familiarity with Linux environments
Our end of the bargain
  • Remote-first environment (if that's your thing)
  • Dedicated collaborative office space in NoVA (if that's your thing)
  • We respect work/life balance
  • Occasional on-site team summits
  • Competitive salary and annual reviews

NSS logo

About NSS

Sourced by ZipRecruiter

NSS RPO was founded by Jessica Nicholson and Conor Nicholson in 2009. They saw the need for a nice services company that valued their employees by putting them first. With Jessicaโ€™s organizational skills and strategy along with Conorโ€™s network, the company employed 25 contract recruiters in less than a year and proceeded to make the Inc. 5000 as one of the fastest growing companies in America, three years in a row. Since its inception, NSS RPO has hired hundreds of recruiters in over 30 states. NSS RPO is proud to include among its clients eight of the ten largest government contractors, the world's largest job board, entertainment company and one of the nationโ€™s largest banks. NSS RPO is your trusted provider of Recruitment Process Outsourcing (RPO) solutions. Founded by an experienced recruiter and solely focused on RPO, NSS RPO offers a strong network of exceptional recruiters and customizable staffing solutions. Named to Washington Business Journalโ€™s prestigious list of Top 25 Staffing Agencies seven years in a row, NSS RPO is known for its quality, agility, and expertise. If you have a recruitment staffing need at your organization, NSS RPO can customize a solution for you, no matter how big or small.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Herndon, VA, US

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