ZipRecruiter

Log In

1

Machine Learning Engineer Quantization Jobs in Wilson, NC

Incedo

Hadoop Developer

Wilson, NC · On-site

... engineer/solution architect designing and delivering large scale distributed software systems ... Optional Skills: • Experience in Machine Learning, Deep Learning, Data Science • Experience ...

Incedo

Hadoop Developer

Wilson, NC

... engineer/solution architect designing and delivering large scale distributed software systems ... Experience in Machine Learning, Deep Learning, Data Science Experience with Cloud architecture ...

Collabera

Manufacturing / Quality Engineer

Whitakers, NC

$65K - $84K/yr

... learning. Visit www.collabera.com to learn more about our latest job openings. Awards and ... the Machining PFMEA's. Individual will be involved in the review and updates of PFMEA's as well ...

RTX

Machinist II - 2nd Shift (Onsite)

Wilson, NC

$17.50 - $23.25/hr

Not Required Produces machine parts by assembling tooling, setting up programming, and operating ... Intermediate computer skills in terms of typing, navigating screens and learning new software ...

RTX

Machinist II - 2nd Shift (Onsite)

Wilson, NC · On-site

$18.50 - $24.50/hr

Not Required Produces machine parts by assembling tooling, setting up programming, and operating ... Intermediate computer skills in terms of typing, navigating screens and learning new software ...

Collins Aerospace

Machinist II - 2nd Shift (Onsite)

Wilson, NC · On-site

$18.50 - $24.50/hr

Not Required Produces machine parts by assembling tooling, setting up programming, and operating ... Intermediate computer skills in terms of typing, navigating screens and learning new software ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Wilson, NC

Machine Learning Engineer Quantization information

See Wilson, NC salary details

$27.5K

$112.5K

$169.1K

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

As of Aug 5, 2026, the average yearly pay for machine learning engineer quantization in Wilson, NC is $112,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $135,500.00 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 Wilson, NC are hiring for Machine Learning Engineer Quantization jobs? Cities near Wilson, NC with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Wilson, NC as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $112,546 per year, or $54.1 per hour.

Entry Level AI & Machine Learning Engineer

SynergisticIT

Clayton, NC • On-site

Other

Posted 25 days ago

Job description

Recent CS Graduate — Stop Applying Randomly and Start Building a Strategy A computer science degree is valuable, but many recent graduates discover that a degree alone does not automatically lead to interviews. Employers often expect candidates to show practical skills, project depth, interview confidence, and familiarity with tools used in real software or data teams. If your applications are not converting, your profile may need stronger job-ready proof. SynergisticIT is looking for recent graduates interested in Java, Python, full-stack development, DevOps, SQL, data analytics, data science, machine learning, and AI programming. This opportunity is a strong fit for bachelor’s and master’s graduates in computer science, engineering, math, statistics, information systems, or related fields. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is useful because it helps candidates organize their career launch around a process. The focus is not just learning more—it is learning what matters for hiring, building projects that demonstrate capability, improving resume alignment, preparing for technical interviews, and approaching the job market with structure. If you are ready to move from graduate to job-ready candidate, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

Apply