1

Machine Learning Engineer Quantization Jobs in Little Rock, AR

Linear Algebra Tutor

Conway, AR ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Mechanical Engineering Tutor

Conway, AR ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$79K - $106K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$92K - $119K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$92K - $119K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$92K - $119K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$92K - $119K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$92K - $119K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$92K - $119K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$79K - $106K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Mechanical Engineer PE I

Little Rock, AR ยท On-site

$79K - $106K/yr

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

... learning and development. We embrace innovation and encourage creative problem solving to tackle ... Operating machinery and/or power tools. * Outdoor elements such as precipitation, heat, cold, and ...

Showing results 41-60

Machine Learning Engineer Quantization information

See Little Rock, AR salary details

$30.2K

$123.5K

$185.6K

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

As of Aug 24, 2026, the average yearly pay for machine learning engineer quantization in Little Rock, AR is $123,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,700.00 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 are popular job titles related to Machine Learning Engineer Quantization jobs in Little Rock, AR?

For Machine Learning Engineer Quantization jobs in Little Rock, AR, the most frequently searched job titles are:

Graduate Assistant - Information Science

Uasys

Little Rock, AR โ€ข On-site

Part-time

Re-posted 12 days ago


Job description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for "Find Jobs for Students".
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.


Closing Date:


Type of Position:Graduate Assistant


Workstudy Position:

No
Job Type:Academic Term (Fixed Term)

Work Shift:


Sponsorship Available:

No
Institution Name: University of Arkansas at Little Rock

The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click theApply link/button.

If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.

For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.


Department:STEM GAs


Department's Website:


Summary of Job Duties:The Department of Information Science at the University of Arkansas at Little Rock is seeking individuals to serve as a Graduate Assistant. The Graduate Assistant (GA) will serve in a research support capacity under the direct supervision This position is governed by state and federal laws, and agency/institution policy.
Qualifications:

Required Education and/or Experience:

  • Bachelor's Degree from an accredited institution of higher education;

  • Regular admission to a UA Little Rock graduate degree program or good standing with the UA Little Rock Graduate School for continuing graduate students;

  • Ability to work the required hours (FT-50% - 20 hours per week/PT-25% - 10 hours per week) with regular attendance.

Job Duties and/or Responsibilities:

  • Perform tasks and assist faculty members in research activities for a designated project;

  • Assist in the collection of data and/or conduct independent research specific to the research project;

  • Perform development work for the project. Depending on the needs of the project, development work could include training, statistical analysis, data mining, machine learning, programming, database, web design and development, system analysis, or network administration;

  • Conduct testing, implementation, and evaluation of project deliverables;

  • Coordinate project meetings and lead project discussions;

  • Prepares reports and publications as needed;

  • Assist in other specialized administrative, technical, or editorial duties connect to the research project.

Knowledge, Skills, and Abilities:

  • Skill in organizing resources and establishing priorities;

  • Skill in planning, organization, coordination of activities;

  • Skill in establishing and maintain effective working relationships;

  • Skills in both verbal and written communication;

  • Skill in the use of personal computer and related software applications.


Additional Information:


Salary Information:

$750 per month


Required Documents to Apply:

Resume


Optional Documents:


Special Instructions to Applicants:


Recruitment Contact Information:

Brian Butler bsbutler2@ualr.edu
Graduate Student Support Specialist


All application materials must be uploaded to the University of Arkansas System Career Sitehttps://uasys.wd5.myworkdayjobs.com/UASYS

Please do not send to listed recruitment contact.


Pre-employment Screening Requirements:No Background Check Required

The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All application information is subject to public disclosure under the Arkansas Freedom of Information Act.

Constant Physical Activity:Sitting, Talking, Walking
Frequent Physical Activity:Talking, Walking
Occasional Physical Activity:Talking, Walking
Benefits Eligible:No