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Machine Learning Engineer Quantization Jobs in Seattle, WA

Emonics LLC

Machine Learning Engineer

Seattle, WA · On-site

We are looking for a motivated and curious Entry-Level Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for someone who wants to build practical machine ...

New

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Axon

Senior Machine Learning Engineer

Seattle, WA

$139K - $183K/yr

As a Machine Learning Engineer at Axon , you'll help build AI solutions that are transforming ... quantization, and scalable evaluation. * Solve challenging edge-and-cloud ML problems. Help bridge ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$100 - $125/hr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Kindredventures

Machine Learning Engineer

Seattle, WA · On-site

$125 - $150/hr

The role We're adding an Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

New

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

As a Machine Learning Engineer at Axon , you'll help build AI solutions that are transforming ... Experience with LLMOps , including model evaluation, monitoring, quantization, distillation/teacher ...

Adobe

Principal Machine Learning Engineer

Seattle, WA · On-site

Experience with quantization, distillation, or other model-optimization techniques for inference. Education * Master's or PhD in Computer Science, Electrical Engineering, or a related field, or ...

Grid

Machine Learning Engineer

Seattle, WA

$120K - $140K/yr

The role We're adding an Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

Grid

Machine Learning Engineer

Seattle, WA

$120K - $140K/yr

The role We're adding an Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Robinhood

Machine Learning Engineer

Bellevue, WA

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Visa Hunt

Machine Learning Engineer

Bellevue, WA · On-site

$150 - $200/hr

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

$150 - $200/hr

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

They are seeking an Applied Machine Learning Engineer to develop products for their clients and the greenhouse industry, focusing on creating machine learning models and retraining systems.

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Seattle, WA

Machine Learning Engineer Quantization information

See Seattle, WA salary details

$35.8K

$146.5K

$220.2K

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

As of Sep 8, 2026, the average yearly pay for machine learning engineer quantization in Seattle, WA is $146,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $176,400.00 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 Seattle, WA?

For Machine Learning Engineer Quantization jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Quantization jobs in Seattle, WA look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in Seattle, WA are:

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $146,543 per year, or $70.5 per hour.

Machine Learning Engineer

Seattle, WA • On-site

Emonics LLC
IT Services • 1 - 5K employees
Learn more about Emonics LLCexternal

Other

Posted 2 days ago

New

Job description

We are looking for a motivated and curious Entry-Level Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for someone who wants to build practical machine learning solutions, work with real-world data, and develop their skills across the machine learning lifecycle.


Key Responsibilities:

  • Develop, train, evaluate, and optimize machine learning models.
  • Prepare, clean, and analyze structured and unstructured datasets.
  • Implement machine learning algorithms using Python and relevant ML frameworks.
  • Collaborate with software engineers, data scientists, and other technical teams.
  • Conduct experiments and analyze model performance to identify areas for improvement.
  • Write clean, maintainable, and well-documented code.
  • Stay current with emerging machine learning techniques, tools, and best practices.
  • Contribute to the design and improvement of scalable AI/ML solutions.


Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or a related field.
  • Strong programming skills in Python.
  • Basic understanding of machine learning concepts and algorithms.


Emonics logo

About Emonics

Sourced by ZipRecruiter

Emonics LLC is a Certified Minority Business Enterprise as designated by the National Minority Supplier Diversity Council. Emonics provide the relevant talent at the right moment. We are a global technology firm with a strong customer focus and an IT and Engineering solutions provider catering to a diverse client base while focusing on finding solutions. We place high value on developing meaningful connections and conversations. We find, align, provide, and manage various managed IT and staffing services. Yes! It’s true! Our experts strive to become an extension of your HR department. We enable our clients to access top industry professionals. Our highly skilled team of specialists generates and integrates very profitable products and strategies. All our strategies are designed to help our clients reach their operational and financial objectives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2016

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