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Freelance Full Stack Machine Learning Engineer Jobs in Seattle, 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 ...

The role We're adding Senior Machine Learning Engineer to our team to help us build and scale our ... The tech stack Our backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL.

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.

Machine Learning Engineer

Seattle, WA · On-site

$175K - $308K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Full timeposted on: Posted Todayjob requisition id: R\_106404** **At Remitly, we are on a mission ... As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our ...

The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This ...

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction ...

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction ...

What You'll Get To Do Machine Learning modeling * Design, train, and deploy state-of-the-art ... Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction ...

... the machine learning stack, and who move fast and take ownership of their projects. Our ideal ... Improve engineering standards, tooling, processes and security * Develop novel, accurate, and ...

... the machine learning stack, and who move fast and take ownership of their projects. Our ideal ... Improve engineering standards, tooling, processes and security * Develop novel, accurate, and ...

... the machine learning stack, and who move fast and take ownership of their projects. Our ideal ... Improve engineering standards, tooling, and processes * Develop novel, accurate, and performant ML ...

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

... the machine learning stack, and who move fast and take ownership of their projects. Our ideal ... Improve engineering standards, tooling, and processes * Develop novel, accurate, and performant ML ...

... full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and ... stack. * Work with deep learning architectures such as transformers, convolutional networks to ...

Showing results 21-40

Freelance Full Stack Machine Learning Engineer information

See Seattle, WA salary details

$50.6K

$153.4K

$216.8K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for freelance full stack machine learning engineer in Seattle, WA is $153,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $179,800.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Seattle, WA?

The most popular types of Full Stack Machine Learning Engineer jobs in Seattle, WA are:

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Seattle, WA?

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

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

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

What cities near Seattle, WA are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities near Seattle, WA with the most Freelance Full Stack Machine Learning Engineer job openings:

Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $153,373 per year, or $73.7 per hour.

Large Machine Learning Model Optimization Engineer, SIML

Seattle, WA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 16 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Our team is an applied research and engineering team responsible for developing real-time on-device Language, Computer Vision, and Machine Perception technologies across Apple products. We focus on technology research and development to deliver Apple quality, state-of-the-art experiences. Our team prides itself on innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.
We are directly responsible for the on-device optimization and deployment of the Apple Intelligence LLM and diffusion models.
As a Machine Learning Engineer, you will have the opportunity to be at the forefront of technological advancements and contribute to the successful shipping and delivery of Apple intelligence. You will be responsible for implementing and delivering various optimization techniques that improve the performance of large language and diffusion models on devices. Additionally, you will collaborate with a diverse range of organizations within Apple. Your innovations will significantly impact the entire ML model lifecycle of Apple intelligence.
Description
We’re looking for strong Machine Learning software engineers/leaders to drive the development of the on-device Apple Intelligence LLM and diffusion model developments. This includes defining and leading the execution of model compression, distillation, and integrating to the full Apple Intelligence user experiences. We expect you to have strong, efficient ML model development experiences and a passion for shipping machine learning models on device. We also encourage publishing novel research at top ML conferences.
Preferred Qualifications
Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models
MS or PhD degree in Computer Science, or equivalent industry research experience
Experience with hardware architecture, software & hardware co-design
Leadership experience in driving large-scale projects in the industry
Strong communication skills; phenomenal work ethic and collaboration
ML compiler
High performance kernel implementation
Distributed inference
Minimum Qualifications
Software engineering skills in Python
Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations
BS and a minimum of 3 years relevant industry experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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