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Machine Learning Engineer Quantization Jobs in Gray, GA

Mercer University

Software Engineer

Warner Robins, GA · On-site

Full stack software development Develops embedded software, engineering/scientific software, web applications, machine learning, and/or artificial intelligence-based software solutions Communicates ...

Mercer University

Software Engineer

Warner Robins, GA · On-site

RESPONSIBILITIES: • Full stack software development • Develops embedded software, engineering/scientific software, web applications, machine learning, and/or artificial intelligence-based ...

Novolex

Process Engineer

Macon, GA · On-site

Establishes set-up and processing parameters based on material, machine capabilities. * Develops ... Learning Management System that supports and enhances employee skills at all levels of the ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Gray, GA

Machine Learning Engineer Quantization information

See Gray, GA salary details

$29.2K

$119.4K

$179.4K

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

As of Jul 9, 2026, the average yearly pay for machine learning engineer quantization in Gray, GA is $119,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $143,700.00 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 Gray, GA are hiring for Machine Learning Engineer Quantization jobs? Cities near Gray, GA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Software Engineer

Software Engineer

Mercer University

Warner Robins, GA • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 29 days ago

Mercer University rating

7.7

Company rating: 7.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

223rd of 546 rated colleges and universities

Job description

Application Instructions:

External Applicants: Please upload your resume on the Apply screen. Your application will automatically populate your resume details, and you may verify and update data on the My Information page.

IMPORTANT: Please review the job posting and load ALL documents required in the job posting to the Resume/CV document upload section at the bottom of the My Experience application page. Use the Select Files button to add multiple documents including your Resume/CV, references, cover letter, and any other supporting documents required in the job posting. The "My Experience" page is the only opportunity to add your required supporting document attachments. You will not be able to modify your application after you submit it.

CurrentMercer University Employees: Apply from your existing Workday account. Do not apply from the external careers website. Log in to Workday and type Jobs Hub in the search bar. Locate the position and click Apply.

Job Title:Software Engineer


Department:MERC


College/Division:Mercer Engineering Research Center


Primary Job Posting Location:

Warner Robins, GA 31088-7810Job Details:Mercer Engineering Research Center (MERC), a research institute of Mercer University, provides high quality engineering, scientific, and technical support services to both government and private industry customers. We are currently recruiting for a Software Engineer in support of the Software/Cyber Directorate. The incumbent will be responsible for developing web-based applications or programs, modifying existing software, incorporating new hardware, improving performance, adding new capabilities, or upgrading interfaces. Works under the direction of a Technical Lead on larger projects.


RESPONSIBILITIES:
Full stack software development
Develops embedded software, engineering/scientific software, web applications, machine learning, and/or artificial intelligence-based software solutions
Communicates with colleagues and more senior developers on technical designs and development
Documents the software design using flowcharts, layouts, diagrams, self-documenting code, inline comments, and/or other appropriate documentation
Develops software solutions by studying user requirements, data usage, and systems flow
Provides project status to internal and external customers
Analyzes source code and recommends software quality and/or performance improvements
Manages the software development life cycle
Decomposes typical, non-complex software requirements into actionable steps
Manages role-based access control and access control list for systems and devices
Prepares reports on programming project specifications, activities, or status
Directs system testing and validation procedures
Directs software programming and documentation development
Collaborates with colleagues, customers, and other companies on software and cybersecurity projects
Complies with all Executive Director approved MERC-wide policies and procedures
Adheres to approved MERC MSP quality management policies and principles and promotes an attitude of commitment to continuous quality improvement
Ensures thorough familiarity and awareness of all MERC core capabilities and remains alert for any opportunities to promote MERC capabilities and interests to customers and potential customers
Submits suggestions for new business opportunities or report identified customer problems or opportunities to the Director of Acquisition Strategy through a Chief Engineer

REQUIRED QUALIFICATIONS:
US Citizenship is required
Ability to obtain and maintain a DoD Security Clearance
A Bachelor's, Master's, or PhD degree in Software Engineering, Computer Engineering, or Computer Science from an ABET-accredited institution
Possesses or is capable of possessing Security+ CE Certification
Experience with Python, Java, JavaScript, jQuery, C#, and Microsoft.NET frameworks including MVC, Web Forms and/or Microsoft.NET core
Experience in using secure coding practices
Experience in using database design principles and Structured Query Language
Experience in using the agile framework and software development life cycle
Experience in developing testing strategies for components and applications
Additional requirements may be added as appropriate and as specified in the specific Personnel Requisition Form

DESIRED QUALIFICATIONS:
Experience with Oracle/SQL Server
Knowledge of Docker and/or Kubernetes
Experience with AWS, Google Cloud or Azure

Excellent communication skills to work with cross functional teams

Strong passion for software development

Familiarity with Azure Dev Ops

* Proficiency with MS Office, MS Teams, Adobe Suite

Final rank will be determined based on the qualifications and experience of the selected candidate.

BENEFITS OF WORKING AT MERC
MERC is a non-profit research institute of Mercer University, a private university founded in 1833. Established in 1987 in Warner Robins, GA, MERC employs more than 200 engineers, scientists, professors, and support staff, who provide sustainable research solutions to government agencies, the Department of Defense, and commercial customers around the world. Warner Robins and the middle GA area are located 90 miles south of Atlanta and within easy driving distance of both the beach and mountains. The area is known for its Southern-style music, food, and restaurants and has a rich cultural and art presence, along with excellent health care and schools. MERC offers a generous benefits package including health and dental insurance, retirement, tuition reimbursement, vacation/sick leave accrual, and holiday pay.



Why Work at Mercer University

Mercer University offers a variety of benefits for eligible employees including comprehensive health insurance (for self and dependents), generous retirement contributions, tuition waivers, paid vacation and sick leave, technology discounts, schedules that allow for work-life balance, and so much more!

At Mercer University, a Bear is more than a mascot: it's a frame of mind that begins with a strong desire to make the most out of your career. Mercer Bears do not settle for mediocrity or the status quo. If you're seeking an environment where your passion and determination are embraced, then you want to work at Mercer University.

For more information, please visit:https://hr.mercer.edu/prospective-employees/

Scheduled Weekly Hours:40


Job Family:Staff MERC Exempt


EEO Statement:

EEO/Veteran/Disability

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