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Physics Informed Machine Learning Jobs in Seattle, WA

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 ...

Helion

Principal Plasma Data Scientist

Everett, WA · On-site

Required : • PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling • 10+ years of industry or ...

Axon

Senior Machine Learning Engineer II

Seattle, WA · On-site

$139K - $183K/yr

Your Impact We are seeking a seasoned Machine Learning Engineer to join a new team building agentic ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Axon

Senior Machine Learning Engineer II

Seattle, WA · On-site +1

$118K - $163K/yr

Your Impact We are seeking a seasoned Machine Learning Engineer to join a new team building agentic ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Helion

Senior Plasma Data Scientist

Everett, WA · On-site

Required : • PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling • 3+ years of industry or ...

Helion Energy

Principal Plasma Data Scientist

Everett, WA · On-site

$230K - $270K/yr

PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related field with emphasis on physics‑grounded modeling * 10+ years of industry or research‑lab experience ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning ... Progress toward a degree in mathematics, economics, statistics, computer science, physics, social ...

Kanak Elite Services Inc

Sr ML Platform Manager

Seattle, WA · On-site

$144K - $190K/yr

Collaborate with cross-functional teams, including product management, data analytics, and IT, to align machine learning initiatives with business goals. Stay informed about industry trends and ...

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

As of Jul 15, 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 July 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.
Machine Learning Scientist 4 - Content & Conversation Modeling

Machine Learning Scientist 4 - Content & Conversation Modeling

Netflix

Seattle, WA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

58th of 67 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix's unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a senior machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix.
In this role, you will:
  • Innovate on a suite of predictive models to help inform our content strategy.
  • Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
  • Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
  • Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
  • Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
  • Live Netflix values while bringing a new perspective to continue improving our culture.

To be successful in this role, you have:
  • An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
  • Exceptional communication skills. Able to explain complex technical concepts clearly to cross-functional partners with differing technical backgrounds.
  • Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
  • A passion for scaling your ML solutions in collaboration with your team. You seek to build modularly, for resilience, and in ways where others can take on your code when you're away.
  • Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX)
  • An advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling.
  • Relevant experience in one or more machine learning roles.
  • An appreciation of the creative and entertainment industry is definitely a plus.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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