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Machine Learning Engineer Quantization Jobs in Sarasota, FL

LaBine and Associates

DSP Engineer

Sarasota, FL · On-site

$138K - $161K/yr

We are seeking an experienced engineer with a strong academic background in engineering/science ... Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred. * TS/SCI ...

LaBine and Associates

DSP Engineer

Sarasota, FL · On-site

$138K - $161K/yr

We are seeking an experienced engineer with a strong academic background in engineering/science ... Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred. * TS/SCI ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Sarasota, FL

Machine Learning Engineer Quantization information

See Sarasota, FL salary details

$30.4K

$124.1K

$186.5K

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

As of Jul 4, 2026, the average yearly pay for machine learning engineer quantization in Sarasota, FL is $124,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $149,400.00 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 Sarasota, FL? For Machine Learning Engineer Quantization jobs in Sarasota, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Sarasota, FL look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Sarasota, FL are:
What cities near Sarasota, FL are hiring for Machine Learning Engineer Quantization jobs? Cities near Sarasota, FL 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 Sarasota, FL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,098 per year, or $59.7 per hour.
DSP Engineer

DSP Engineer

LaBine and Associates

Sarasota, FL • On-site

$138K - $161K/yr

Other

Posted 29 days ago

Job description

This is an opportunity to join a focused and dedicated employee-owned company.

We are seeking an experienced engineer with a strong academic background in engineering/science with hands-on programming skills, digital signal processing experience, a high degree of drive and dedication, and the ability to learn quickly.

The position is open to engineering professionals with experience designing, implementing, and maintaining large Digital Signal Processing software systems.
Job Duties  |  Design, develop, enhance, install, support, and maintain applications and services for our customers in a manner that enhances or expands the customer’s mission collection and exploitation capability, and to perform this service while continually striving for higher quality and end-user satisfaction in our work and products.
Requirements

  • B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent.
  • Minimum two years of experience is required with five or more years desired.
  • Working knowledge or experience with C/C++, scientific programming, Python, MATLAB, shell scripting, Linux, CUDA/OpenCL, or some reasonable combination thereof.
  • Digital Signal Processing, X-Midas, Linux, and Machine Learning experience preferred.
  • TS/SCI clearance is required so you must meet eligibility requirements for access to classified information.
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About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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