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Physics Informed Machine Learning Jobs in Seattle, WA

Meta

Software Engineer, Machine Learning

Seattle, WA · On-site

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

Meta

Software Engineer, Machine Learning

Bellevue, WA · On-site

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a ... models are informed by high-quality data and support strategic product goals * Explore and ...

Socket.dev

Senior Machine Learning (ML) Engineer

Seattle, WA · On-site

$119K - $163K/yr

Senior Machine Learning Engineer Truveta is the world's first health provider led data platform ... most informed decisions about their care. Achieving Truveta' s ambitious vision requires an ...

Truveta

Senior Machine Learning (ML) Engineer

Seattle, WA · Hybrid

$118K - $163K/yr

Senior Machine Learning Engineer Truveta is the world's first health provider led data platform ... most informed decisions about their care. Achieving Truveta' s ambitious vision requires an ...

Truveta

Senior Machine Learning (ML) Engineer

Seattle, WA · On-site

$118K - $163K/yr

Senior Machine Learning Engineer Truveta is the world's first health provider led data platform ... most informed decisions about their care. Achieving Truveta' s ambitious vision requires an ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a ... models are informed by high-quality data and support strategic product goals * Explore and ...

Helion

Principal Plasma Data Scientist

Everett, WA · On-site

Responsibilities : • Develop and validate machine-learning frameworks for FRC plasma-dynamics, leveraging physics-grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or ...

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How much do physics informed machine learning jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for physics informed machine learning 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 a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

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

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

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

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

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Seattle, WA as of September 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $47,491 per year, or $22.8 per hour.

Software Engineer, Machine Learning

Seattle, WA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$183K/yr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Collaborate with cross-functional teams to build innovative application experiences

  • Analyze and optimize code for quality, efficiency, and performance, and provide feedback during code reviews

  • Architect efficient and scalable systems that drive complex applications

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  • Implement custom user interfaces using latest programming techniques and technologies
  • Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
  • Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
  • Work on a variety of coding languages and technologies
  • Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • Demonstrated experience driving change within an organization and leading complex technical projects
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
  • Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications:
  • Masters degree or PhD in Computer Science or a related technical field
  • Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Understanding of information retrieval concepts, such as indexing, querying, and ranking
  • Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
  • Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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