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Physics Informed Machine Learning Jobs in Seattle, WA

Microsoft AI

Machine Learning

Redmond, WA · On-site

... Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Company

AZX

ML Engineer (Senior)

Seattle, WA

$119K - $163K/yr

Machine Learning Engineer (Senior) About AZX Our mission is to accelerate positive impact in critical industries through AI transformation. We specialize in physics-informed ML and enterprise AI ...

AZX

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

Machine Learning Engineer (Senior) About AZX Our mission is to accelerate positive impact in critical industries through AI transformation. We specialize in physics-informed ML and enterprise AI ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

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

Expedia

Machine Learning Scientist III

Seattle, WA · On-site +1

PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics). * 3+ years of hands-on industry experience building and deploying machine learning models to solve real ...

Meta

Product Manager, Machine Learning

Seattle, WA · On-site

$146K/yr

Product Manager, Machine Learning Responsibilities: * Plan, initiate, and manage information ... Physics, Applied Sciences, or a related field and 2+ years of experience in the following:

Workday

Senior/Principal Machine Learning Engineer

Seattle, WA · On-site

$142K - $196K/yr

Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent P4, Senior Machine Learning Engineer Basic Qualifications * 7+ years experience as a member ...

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

As of Jun 18, 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 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 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 is a Physics Informed Machine Learning job?

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 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:
What cities near Seattle, WA are hiring for Physics Informed Machine Learning jobs? Cities near Seattle, WA with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Seattle, WA as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,491 per year, or $22.8 per hour.

Machine Learning

Microsoft AI

Redmond, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Microsoft AI is a part of Microsoft focused on pushing the boundaries of AI towards Humanist Superintelligence. The role involves creating LLM models for general purpose capabilities and products, developing new training methods, and collaborating with research and product teams.
Responsibilities:
• Own and pursue a research agenda to improve model capability and performance for agentive application.
• Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
• Build robust evaluations for tracking modeling improvements.
• Design, implement, test, and debug code across our research stack.
Qualifications:
Required:
• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience.
• Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
• Experience prompting, evaluating, and working with large language models.
• Experience writing production-quality Python code.
Preferred:
• Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
• OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
• OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
Company:
Microsoft AI is a software development company. Founded in 2024, the company is headquartered in Redmond, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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