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Artificial Intelligence Machine Learning Physics Jobs in Seattle, WA

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

Adobe

Senior Machine Learning Engineer

Seattle, WA · On-site

$172K - $306K/yr

... 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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All JobsArtificial Intelligence Machine Learning Physics JobsArtificial Intelligence Machine Learning Physics Jobs in Seattle, WA

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 Aug 12, 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 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 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 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.

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:
Artificial Intelligence Machine Learning Physics jobs near you
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.

Course Instructor Position - Online Master's Degree in Artificial Intelligence

DigiPen Institute of Technology

Redmond, WA • On-site

$6.0K/mo

Part-time

Re-posted 27 days ago

Job description

Located in Redmond, Washington, DigiPen Institute of Technology is a private college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as Master's degree programs in Computer Science and Digital Art.
DigiPen Institute of Technology has been ranked one of the top 5 game design schools in the country by the Princeton Review for more than a decade. To learn more, visit: https://www.digipen.edu/ .
Position: Course Instructor Position - Online Master's Degree in Artificial Intelligence
Reports to: Department Chair
Position Type
Adjunct Faculty as Course Instructor for the program.
Position Overview
DigiPen is seeking experienced and passionate practitioners in Artificial Intelligence to teach courses for our online Master of Science in Artificial Intelligence (MSAI) program. This is an exciting opportunity to interact with, and develop, the next generation of AI practitioners using our cutting-edge curriculum that prepares students for leadership roles in the rapidly evolving field of artificial intelligence.
About the Program
Our online MSAI program combines rigorous academic foundations with practical, industry-relevant applications. Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working professionals and recent graduates seeking to advance their careers in AI. Graduates of this program will be ready to contribute to their industry with the appropriate technical skills and workplace practices, whether in a remote or onsite work environment.
Key Responsibilities
Course Instruction
  • Primary responsibilities include the day-to-day operation of one, or more, courses offered by our 100% online, asynchronous Master of Science in Artificial Intelligence program
  • Facilitate meaningful discussions and interactive learning experiences in virtual classrooms
  • Provide timely, constructive feedback on student work and maintain regular office hours

Course Quality & Alignment
  • Provide content updates as necessary to keep the course material current
  • Ensure course content is technically accurate, industry-relevant, and appropriate for an online learning environment
  • Stay current with developments in AI technology, pedagogy, and industry applications
  • Collaborate with faculty colleagues to maintain curriculum quality and coherence
  • Contribute to program assessment and continuous improvement efforts

Required Qualifications
  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
  • Minimum 4 years of relevant professional experience in AI/ML (development or applied research)
  • Strong expertise in at least one of the following areas: machine learning, deep learning, natural language processing, computer vision, reinforcement learning, or AI ethics
  • Proficiency with Python and major AI/ML frameworks (PyTorch, TensorFlow, scikit-learn etc.)
  • Excellent communication skills and ability to explain complex technical concepts clearly

Preferred Qualifications
  • Demonstrated teaching experience
  • Experience with online learning platforms and virtual instruction methodologies
  • Experience teaching in online or hybrid learning environments
  • Proven ability to engage and support diverse student populations
  • Published research in AI-related conferences or journals
  • Experience mentoring graduate students or early-career professionals
  • Contributions to open-source AI projects or educational resources
  • Knowledge of current trends in responsible AI and ethical considerations in AI development

Desired Areas of Course Development
  • Foundations of Machine Learning
  • Deep Learning and Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • AI Ethics and Responsible AI
  • Generative AI and Large Language Models
  • AI for Business Applications
  • Advanced Topics in AI Research

Salary Range
$6,048 for positions at the Assistant Professor level.
Exceptional experience may lead to additional title and compensation.
Application Procedure
Applications should include, or you will be asked to provide, the following:
  • A cover letter
  • Current curriculum vitae / résumé
  • Academic Transcripts of most recently attended educational institutions

Optional materials:
  • Statement of teaching philosophy
  • Statement of experience on maximizing quality and engagement across broad subjects and perspectives

Upon accepting an offer of employment with us, the candidate will receive an invitation for a required background check, employment verification, and 5-panel drug screen as a part of the hiring process.
APPLICATION DEADLINE:
Complete application files will be accepted on a continuous basis and remain active for 365 days. While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
Additional Notes:
All Adjunct positions are part-time, temporary assignments (for no more than one semester at a time), dependent upon student enrollment and instructional needs, and subject to budget consideration and approval. DigiPen Institute of Technology reserves the right to extend application deadlines and/or not to offer advertised positions.
Equal opportunity is a priority of DigiPen Institute of Technology, as the institution is committed to fostering a positive learning environment for all. The Institute's intent is to hire the most qualified individuals for faculty and staff, attracting candidates from diverse backgrounds of race and ethnicity, gender, gender identity, gender expression, sexual orientation, age, socioeconomic status, veteran status, nationality, culture, religion, and physical abilities. We are committed to broadening our candidate pool to include more diverse individuals and ensuring fairness in hiring by avoiding bias and determining criteria to judge all candidates prior to posting each new position.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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