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Machine Learning Engineer Quantization Jobs in Seattle, WA

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ... Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.). * Hands-on ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Remitly Inc.

Staff Machine Learning Engineer

Seattle, WA · On-site

$208 - $260/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ... Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.). * Hands-on ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

  • Medical

  • Life

  • Retirement

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 ...

Capgroup

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

  • Medical

  • Life

  • Retirement

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Apple

Machine Learning Engineer - Health AIML

Seattle, WA

$205K - $374K/yr

  • Medical

  • Dental

  • Retirement

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to ...

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

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Showing results 21-40

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 Aug 17, 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.

Embedded Machine Learning Engineer, Wireless Technologies & Ecosystems

Apple Inc.

Seattle, WA • On-site

$140 - $190/hr

Other

Medical, Dental, Retirement

Re-posted 18 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Embedded Machine Learning Engineer, Wireless Technologies & Ecosystems

Seattle, Washington, United States Software and Services

Join Apple’s innovative iOS Robotics team within Wireless Technologies and Ecosystems (WTE). We’re expanding the DockKit Framework’s focus on accessories, algorithms, and user experiences to make iOS a leading platform for Perception Algorithm development. As an Embedded Machine Learning Engineer, you’ll deploy efficient, low‑power ML models directly onto embedded hardware, driving advanced, on‑device intelligent experiences for millions of users in robotics and intelligent systems.

Description

This role offers a unique opportunity to innovate at the intersection of AI and embedded hardware. You will transform advanced ML algorithms into highly optimized, power‑efficient code for custom silicon and microcontrollers in Apple products, specifically for robotics. You’ll tackle complex challenges like memory constraints, computational budgets, and real‑time performance, ensuring ML models deliver exceptional user experiences while adhering to Apple’s privacy and power efficiency standards.

Responsibilities
  • Design and implement efficient ML inference pipelines on resource‑constrained embedded hardware.
  • Optimize neural network models (e.g., quantization, pruning) for performance, memory, and power on edge devices.
  • Develop and integrate robust C/C++ low‑level software for deploying ML models on microcontrollers, DSPs, and ML accelerators.
  • Analyze and debug performance bottlenecks and power consumption across the hardware/software stack for ML workloads.
  • Collaborate with ML researchers, hardware engineers, and platform teams to deliver high‑quality, power‑efficient edge AI solutions.
  • Evaluate and recommend embedded platforms, toolchains, and ML frameworks for on‑device intelligence applications.
Minimum Qualifications
  • Bachelor’s degree (3+ years experience) or Master’s degree (2+ years experience) in CS, EE, or a related technical field.
  • Proficiency in C/C++ for embedded systems development, including RTOS, microcontrollers, and low‑level hardware interactions.
  • Proven ability to optimize and deploy ML models for resource‑constrained edge devices using techniques like quantization/pruning and frameworks (e.g., TensorFlow Lite, ONNX Runtime, Core ML).
  • Strong analytical and debugging skills to resolve performance bottlenecks across hardware, firmware, and ML inference.
Preferred Qualifications
  • Experience with ML inference hardware acceleration (DSPs, NPUs, ASICs). Familiarity with diverse neural network architectures and training methodologies for efficient edge deployment.
  • Knowledge of computer vision, NLP, or audio processing in an embedded/robotics context.
  • Experience with embedded Linux or other RTOS in a production environment.
  • Contributions to open‑source embedded ML projects or relevant publications.
  • Proficiency with Python for automation and data analysis.

Benefits include competitive base pay, Apple stock planning options, comprehensive medical and dental coverage, retirement benefits, and educational expense reimbursement.

Apple is an equal‑opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

We believe accessibility is a fundamental human right. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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