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Artificial Intelligence Machine Learning Physics Jobs in Seattle, WA

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... artificial intelligence to new heights. What You'll Do As a Senior Machine Learning Engineer on the ... A degree in computer science, statistics, operations research, applied physics, engineering, or a ...

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Artificial Intelligence Machine Learning Physics information

See Seattle, WA salary details

$6

$22

$28

How much do artificial intelligence machine learning physics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for artificial intelligence machine learning physics in Seattle, WA is $22.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $28.99 per hour, depending on experience, location, and employer.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are growing fields with high demand for skilled professionals, including roles like AI engineers and data scientists. These careers often require strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. They offer competitive salaries and opportunities for innovation across various industries.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Seattle, WA?

For Artificial Intelligence Machine Learning Physics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Seattle, WA look for?

The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities near Seattle, WA with the most Artificial Intelligence Machine Learning Physics job openings:

Infographic showing various Artificial Intelligence Machine Learning Physics job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,491 per year, or $22.8 per hour.

AIML - Machine Learning Researcher, Data and ML Innovation

Apple Inc.

Seattle, WA • On-site

$150.40 - $277.60/hr

Other

Medical, Dental, Retirement

Posted 17 days ago


Key responsibilities

  • Analyze search ranking and relevance requirements, issues, and opportunities.

  • Develop, fine-tune, and evaluate domain-specific Large Language Models for various tasks and applications in Apple's AI-powered products.

  • Build machine-learned models for search relevance, ranking, and query understanding problems.


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 681 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

AIML - Machine Learning Researcher, Data and ML Innovation

Santa Clara, California, United States Machine Learning and AI

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Responsibilities
  • Analyzing search ranking and relevance requirements, issues and opportunities
  • Developing, fine‑tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
  • Conducting applied research to transfer the pioneering research in generative AI to production‑ready technologies
  • Understanding product requirements, translate them into modeling tasks and engineering tasks
  • Building machine‑learned models for search relevance, ranking and query understanding problems
  • Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
  • Building end‑to‑end production system including query understanding and ranking to power search
  • Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Minimum Qualifications
  • PhD, MS or equivalent experience
  • Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
  • Experience of prompt engineering, fine‑tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
  • Proficiency in one of following languages: Python, Go, Java, C++
Preferred Qualifications
  • Excellent data analytical skills
  • Good interpersonal skills and team player
  • PhD preferred
Compensation and 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 $150,400 and $277,600, 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. Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Equal Opportunity Employer

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. Learn more about your EEO rights as an applicant.

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

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Benefits

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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