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Machine Learning Engineer Quantization Jobs in Auburndale, FL

Reads and interprets engineering drawings, fabrication and assembly drawings, installation manuals ... Welds, installs, repairs, and maintains hydraulic, pneumatic, and electrical machinery, parts, and ...

Warehouse Associate

Lakeland, FL · On-site

$15 - $17.75/hr

... and engineered equipment for industrial applications. With a focus on technical expertise and ... Operate heavy machinery, such as forklifts, to move and store inventory (if qualified). * Wear ...

Warehouse Associate

Lakeland, FL · On-site

$14.25 - $16.75/hr

... and engineered equipment for industrial applications. With a focus on technical expertise and ... Operate heavy machinery, such as forklifts, to move and store inventory (if qualified). * Wear ...

... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Minimum 3 years of experience in supervisory or maintenance expereincce in engineering, or facility ... Aptitude for learning new computer software * Knowledge of all equipment and machinery used in the ...

Minimum 3 years of experience in supervisory or maintenance expereincce in engineering, or facility ... Aptitude for learning new computer software * Knowledge of all equipment and machinery used in the ...

Pump Repair Technician - FL

Thonotosassa, FL · On-site

$16.50 - $22.50/hr

... machines in compliance with safety standards. • Take pictures of incoming pumps, outgoing pumps ... Lifelong learning and career growth * Innovation powered by people * Comprehensive compensation and ...

Pump Repair Technician - FL

Thonotosassa, FL · On-site

$16.50 - $22.50/hr

... machines in compliance with safety standards. • Take pictures of incoming pumps, outgoing pumps ... Lifelong learning and career growth * Innovation powered by people * Comprehensive compensation and ...

Pump Repair Technician - FL

Thonotosassa, FL · On-site

$16.50 - $22.50/hr

... machines in compliance with safety standards. • Take pictures of incoming pumps, outgoing pumps ... Lifelong learning and career growth * Innovation powered by people * Comprehensive compensation and ...

During initial year learning the business, additional overnights may be required to visit sites (4 ... Today, MiTek delivers software, services, engineered products, and automated solutions that enable ...

Buyer/Planner II

Zephyrhills, FL

$46K - $63K/yr

During initial year learning the business, additional overnights may be required to visit sites (4 ... Today, MiTek delivers software, services, engineered products, and automated solutions that enable ...

During initial year learning the business, additional overnights may be required to visit sites (4 ... Today, MiTek delivers software, services, engineered products, and automated solutions that enable ...

Showing results 21-40

Machine Learning Engineer Quantization information

See Auburndale, FL salary details

$26.9K

$109.9K

$165.1K

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

As of Aug 19, 2026, the average yearly pay for machine learning engineer quantization in Auburndale, FL is $109,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,600.00 and $132,200.00 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 job categories do people searching Machine Learning Engineer Quantization jobs in Auburndale, FL look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in Auburndale, FL are:

What cities near Auburndale, FL are hiring for Machine Learning Engineer Quantization jobs?

Cities near Auburndale, FL with the most Machine Learning Engineer Quantization job openings:

Adjunct, CNC, Engineering Technology

Polk State College

Winter Haven, FL • On-site

$41.37/hr

Part-time

Retirement

Re-posted 27 days ago


Polk State College rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

384th of 619 rated colleges and universities


Job description

Salary: $41.37 Hourly
Location : Clear Springs - Advanced Technology Center
Job Type: Part-Time/Temporary
Job Number: 202600073
Org: Engineering Technology
Opening Date: 06/22/2026
Closing Date: 12/11/2026 12:00 AM Eastern
Please label all uploaded documents with your full name (for example: Jane_Doe_Resume). This helps ensure your materials are properly matched to your application.
If you are a currently active Polk State College employee, please create an account using your polk.edu staff email address. Our HR system will not recognize you as an active employee.
Description
Reporting to the campus Dean of Workforce Education, the adjunct faculty member is an important part of our academic community. The primary role of this position is to provide college-level instruction and academic-related activities designed to encourage, support, and enable student success. Working closely with the campus Associate Dean of Academics and the Department Coordinator/Program Director, adjuncts are issued a part-time, temporary term-to-term assignment.
Essential Functions/Duties
  • Teach courses in accordance with college and departmental policies and procedures, as well as Basic Course Information sheets.
  • Prepare and submit timely grade reports and other reports on student performance as may be scheduled or required.
  • Organize class activities and assignments, relating them to the overall learning outcomes of the course.
  • Provide input and work with other faculty and staff to review, produce and/or select course-related materials.

Typical Qualifications
Required Skills:
  • Extensive knowledge of the subject area(s) in which the individual is responsible for instruction.
  • Knowledge and understanding of the fundamentals of effective communication and of effective instruction.
  • Knowledge and understanding of the characteristics and challenges of community college students.
  • Knowledge and understanding of principles of curriculum development.
Working Conditions/Additional Information
  • This position is a part-time on-campus position located at our campus. (Remote/hybrid options are not available.)
  • Weekend and evening work may be required.
  • Position may be required to work during college closures (such as winter/spring break and inclement weather closures).
  • Reliable transportation is required for travel to campuses and centers. Possession of a valid Florida's Driver's License is required (or must be eligible to obtain a Florida's license within 30 days).

REQUIRED EDUCATION:
  • Master's degree in engineering, engineering technology, and industrial engineering field, with an expertise in CNC programming and operation, Computer-Aided Design and Additive Manufacturing.
or
  • Master's degree plus industry certification in NIMS CNC Milling and Lathe Programmer/Operation... Autodesk, SolidWorks, Fusion 360, and Mastercam. Plus 2 years' work experience in the field, Preferred experience with HAAS CNC machines and expertise in additive manufacturing.
Teaching experience is preferred.
Please note that Adjuncts are hired based on enrollment for the Fall and Spring semesters. Candidates will be contacted as positions become available.
Supplemental Information
Submissions that do not include all parts of the following required information will not be considered:
  • an electronic job application,
  • cover letter,
  • current vita/resume, and
  • unofficial transcripts.

Important Information
  • Upload unofficial transcripts when applying. If you need to request official transcripts, please have them sent directly to HR@polk.edu. Once opened or uploaded by you, they become unofficial.
  • If you are a retiree of the Florida Retirement System (FRS), please check with the FRS on how your current benefits will be affected if you are re-employed with the State of Florida. Your current retirement benefits may be canceled, suspended, or deemed ineligible depending upon the date of your retirement.
  • Polk State College participates in E-Verify. Candidates must provide documentation of eligibility to work in the United States. Polk State College does not provide visa sponsorship.
  • To request Veteran's Preference, please be sure to upload all necessary documents (DD-214, etc.) to your application.
  • Polk State College is a drug-free workplace.
  • Polk State College is committed to working with and providing reasonable accommodation to applicants and employees with disabilities. Reasonable accommodation is considered on a case-by-case basis.
  • Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1, etc.) will not be considered.
  • Reference checks, successful completion of a background check, and third-party Education Verification for all stated degrees will be required prior to employment.
  • Polk State College does NOT provide relocation assistance for this position.

Equal Opportunity Statement
Polk State College does not discriminate on the basis of race, color, national origin, sex, disability, or age in its programs, activities, or employment. For information about the College's equal access and equal opportunity policies and procedures, or to file a complaint, please contact:
Title IX Coordinator
3425 Winter Lake Road
Lakeland, FL 33803
863.669.2903
For additional information, visit
We encourage applicants to provide feedback on their experience or request help at Careers@polk.edu
This position is not eligible for benefits.
01
Are you over the age of 18?
  • Yes
  • No

02
Are you currently authorized to work in the United States for any U.S. employer?
  • Yes
  • No

03
Will you now or in the future require any type of employer sponsorship or immigration-related support to legally work for Polk State College? (This includes but is not limited to the following: H-1B, H-1B1, J-1, TN, E-3, O-1, F-1 CPT, F-1 OPT, F-1 STEM OPT.)
  • Yes
  • No

04
Are you currently in a period of F-1 CPT or OPT or seeking employment under one of these programs?
  • Yes
  • No

05
Are you a United States Veteran or a qualifying family member seeking to use Veterans' Preference? (Please upload your DD-214 documents to your profile/application.)
  • Yes
  • No

06
Are you a current employee at Polk State College?
  • Yes
  • No

07
Are you bilingual?
  • Yes
  • No

08
I am able to work 100% on campus and I do not require a remote or hybrid schedule.
  • Yes
  • No

09
Which statement below best describes the highest level of education you have completed?
  • High School Diploma/GED
  • Associate's Degree
  • Bachelor's Degree
  • Master's Degree
  • Master's Degree + 18 graduate hours
  • Doctorate Degree

10
Do you have a Master's Degree or higher in engineering, engineering technology, and industrial engineering field, with an expertise in CNC programming and operation, Computer-Aided Design, and Additive Manufacturing from a regionally accredited college or university?
  • Yes
  • No

11
How many years of professional experience in CNC programming and operation, Computer-Aided Design, or Additive Manufacturing do you have?
  • No experience
  • Less than 1 year of experience
  • 1 year but less than 2 years of experience
  • 2 years but less than 3 years experience
  • 3 years but less than 5 years experience
  • More than 5 years experience

12
Do you have a certification in NIMS CNC Milling and Lathe Programmer/Operation, Autodesk, SolidWorks, Fusion 360, or Mastercam?
  • Yes
  • No

13
How many total years of instructional/teaching experience do you have?
  • None
  • 1-2 years
  • 2-3 years
  • 3-5 years
  • 5-10 years
  • 10+ years

14
The information provided in your application must support your selected answers in the supplemental questions. The information you provide will be verified and documentation may be required. Please be honest and accurate as possible. You may be asked to demonstrate your knowledge and skills in a work sample or during the interview. By completing this supplemental questionnaire, you are attesting that the information you have provided is accurate. Any misstatements, omissions, or falsification of information may eliminate you from consideration or result in dismissal.
  • Yes, I understand and agree
  • No, I do not agree

Required Question

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