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Machine Learning Engineer Quantization Jobs in Memphis, TN

AutoZone

Lead Data Scientist

Memphis, TN · On-site

Work with software developers and machine learning engineers to implement models into production. * Project Management : Develop and manage project plans, ensuring timely delivery and alignment with ...

Nucor

Automation Engineer

Memphis, TN · On-site

$100K/yr

The Automation Engineer will drive innovation and efficiency in steel production processes across ... Lead projects focused on training and building machine learning (ML) models. Develop ML models for ...

Nucor

Automation Engineer

Memphis, TN · On-site

$100K/yr

The Automation Engineer will drive innovation and efficiency in steel production processes across ... Lead projects focused on training and building machine learning (ML) models. Develop ML models for ...

DataAnnotation

SDLC Engineer - AI Trainer

Memphis, TN · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Memphis, TN · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... machine learning-ready feature sets for model training and inference. • Enforce data contractual constraints from third-party data providers, including requirements for stateless processing and ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Memphis, TN

Machine Learning Engineer Quantization information

See Memphis, TN salary details

$30.6K

$125.1K

$188K

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

As of Jun 21, 2026, the average yearly pay for machine learning engineer quantization in Memphis, TN is $125,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $150,600.00 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 are popular job titles related to Machine Learning Engineer Quantization jobs in Memphis, TN? For Machine Learning Engineer Quantization jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Memphis, TN look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Memphis, TN are:
Machine Learning Engineer Quantization jobs near you
Lead Data Scientist

Lead Data Scientist

AutoZone

Memphis, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

AutoZone rating

5.3

Company rating: 5.3 out of 10

Based on 1,868 frontline employees who took The Breakroom Quiz

35th of 39 rated national retailers

Job description

Job Description
At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and skilled data scientists. We focus on uncovering insights and creating innovative solutions to enhance our systems and services. We prioritize continuous learning, providing access to cutting-edge tools, technologies, and professional development opportunities. Collaboration is key, as we work closely with cross-functional teams to integrate data insights across the business. Our effective communicators translate complex data into actionable recommendations, leveraging teamwork to tackle challenges and deliver impactful solutions that drive AutoZone's success.
Responsibilities
  • Lead and Inspire: Guide a team of data scientists to tackle AutoZone's most pressing challenges.

  • Collaborate and Strategize: Work closely with leaders to understand needs, develop directives, and manage projects.

  • Stakeholder Collaboration: Work with various departments to understand their data needs and present findings to senior management.

  • Innovate with Data: Build predictive models using machine learning and other techniques to support new initiatives.

  • Analyze and Explore: Validate, manipulate, and perform exploratory data analysis on large datasets.

  • Utilize Cutting-Edge Tools: Work with Python, SAS, and other analytic computing environments to handle big data.

  • Research and Develop: Create innovative statistical models for data analysis.

  • Communicate Insights: Present findings to stakeholders and leadership, including the executive committee.

  • Drive Business Processes: Implement analytics for smarter business processes and meaningful insights.

  • Stay Current: Keep the team updated with the latest technical and industry developments.

  • Strategize Data Integration: Identify and integrate new datasets to leverage system capabilities.

  • Execute Experiments: Conduct analytical experiments to solve problems and make impactful decisions.

  • Mine Data: Identify relevant data sources, collect large datasets, and perform data mining.

  • Develop Algorithms: Create algorithms and models to mine big data, improve models, and ensure data accuracy.

  • Analyze Trends: Interpret data for trends and patterns with clear objectives.

  • Collaborate for Implementation: Work with software developers and machine learning engineers to implement models into production.

  • Project Management: Develop and manage project plans, ensuring timely delivery and alignment with business goals.

Qualifications
What We're Looking For:
  • Experience: 10+ years in data science and 2+ years in project management.

  • Technical Skills: Proficiency in data mining, mathematics, statistical analysis, pattern recognition, and predictive modeling.

  • Tool Proficiency: Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (Java, R, Python, SAS).

  • Dynamic Environment: Comfort working in a research-oriented group with multiple concurrent projects.

You'll Go the Extra Mile if you have:
  • Educational Background: Bachelor's degree in statistics, applied mathematics, economics, or related discipline; Master's degree preferred.

About Us
Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.
Benefits at AutoZone
AutoZone offers thoughtful benefits programs with one-on-one benefits guidance designed to improve AutoZoners' physical, mental and financial well-being.
All AutoZoners (Full-Time and Part-Time):
  • Competitive pay
  • Unrivaled company culture
  • Medical, dental and vision plans
  • Exclusive discounts and perks, including an AutoZone in-store discount
  • 401(k) with company match and Stock Purchase Plan
  • AutoZoners Living Well Program for free mental health support
  • Opportunities for career growth

Additional Benefits for Full-Time AutoZoners:
  • Paid time off
  • Life, and short- and long-term disability insurance options
  • Health Savings and Flexible Spending Accounts with wellness rewards
  • Tuition reimbursement

Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com.
We proudly support Veterans, Active-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team.
Online Application:
An online application is required. Click the Apply button to complete your application. For step-by-step instructions on how to apply visit careers.autozone.com/candidateresources.
AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.

What AutoZone employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About AutoZone

Sourced by ZipRecruiter

AutoZone Inc (AutoZone) is a retailer and distributor of automotive replacement parts and accessories. The company provides new and remanufactured automotive hard parts, maintenance items, accessories, and non-automotive products. AutoZone sells automotive diagnostic and repair software through its subsidiary ALLDATA.

Industry

Motor vehicle and motor vehicle parts wholesalers

Company size

10,000+ Employees

Headquarters location

Memphis, TN, US

Year founded

1979

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