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Optimization Algorithms Jobs in Seattle, WA (NOW HIRING)

Apple

LLM Machine Learning Research Engineer

Seattle, WA

$139K - $258K/yr

Model optimization pipelines, State-of-the-art optimization algorithms, State-of-the-art post-training techniques. Preferred Qualifications Publication record at top AI/ML venues. Experience with LLM ...

Walmart

(USA) Principal, Software Engineer

Bellevue, WA · On-site +1

$143K - $286K/yr

Design, implement,testand improve campaign optimization algorithms,to achieveadvertiser goals with actional insights. * Build offline simulation tools and online dark canary systems to support quick ...

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$46

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$93

How much do optimization algorithms jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for optimization algorithms in Seattle, WA is $67.88, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $83.70 per hour, depending on experience, location, and employer.

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

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Optimization Algorithms jobs near you
Infographic showing various Optimization Algorithms job openings in Seattle, WA as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $141,191 per year, or $67.9 per hour.
LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development, SIML

LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development, SIML

Apple

Seattle, WA

$139K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 3 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Apple Intelligence Model Optimization and Algorithms Development team brings innovative AI research into Apple products.
Description
We are looking for strong Machine Learning Applied Scientists and Research Engineers to build ground breaking server-based and on-device large machine learning capabilities and emerging innovations. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).
Preferred Qualifications
Publication record at top AI/ML venues
Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS
Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C.
Infrastructure management and debugging experience
Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms
Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities
PhD in related field
Minimum Qualifications
Proven ability to define goals and deliver results when faced with uncertainty and real-world constraints in AI product development
Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models
Python coding and general purpose system admin and infrastructure management abilities
History of applied research in neural network model optimization or training or a related area application
Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment
BS degree and 5+ years of experience, MSc and 3+ years of experience, or PhD and 1+ year of 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 $139,500 and $258,100, 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.

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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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