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Physics Informed Machine Learning Jobs in Washington, DC

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This ...

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This ...

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Physics Informed Machine Learning information

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$5

$22

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

As of Jul 14, 2026, the average hourly pay for physics informed machine learning in Washington, DC is $22.72, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $28.85 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 Washington, DC? For Physics Informed Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Washington, DC look for? The top searched job categories for Physics Informed Machine Learning jobs in Washington, DC are:
Infographic showing various Physics Informed Machine Learning job openings in Washington, DC 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 $47,264 per year, or $22.7 per hour.
Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather ...

Sr. Worldwide Specialist Solutions Architect - HPC/ML, Computer Aided Engineering (CAE), Weather ...

Amazon

Arlington, VA • Remote

Full-time

Re-posted 8 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,965 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges.

This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers. Become an AWS Specialist SA!
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

We work backwards from our customer's most complex and business critical problems to build and execute go-to- market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses.

We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Are you passionate about cloud computing and its potential to overcome some of the biggest challenges in High Performance Computing (HPC). Do you have a unique combination of deep technical knowledge, business acumen and strong interpersonal skills. Do you enjoy tackling large analytical problems as massive scale

Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions.
As a trusted customer advocate, you will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mind-share and broad use of AWS within enterprise customers. The ideal candidate must be self-motivated with a proven track record of customer obsession and delivering results

The ability to connect technology with measurable business value is critical to a solutions architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges in HPC.
Key job responsibilities
Design Customer Solutions Collaborate with the wider AWS teams to help customers and partners architect HPC Solutions that leverage AWS Services
Engage with Solution Architects, Account Managers, Professional Services, and Partners to define an HPC Engagement strategy for AWS operational territories and key accounts, with emphasis on public sector National Super Computing Centers , Government agencies , and/or AI/ML , CAE , Weather and accelerated computing with GPU
Thought Leadership - Provide thought leadership on solutions that benefit customers through the use of AWS Services. This takes the form of contribution to external publications such as the AWS Compute Blog, whitepapers and reference architectures, as well as internal training of Solutions Architects, Professional Services Consultants, Technical Account Managers, and AWS Trainers
Serve as a key member of the business development and accounting management team in helping to ensure customer success in building and migrating applications, software and services on the AWS platform.
Assist solution providers with the definition and implementation of technical and business strategies.
Capture and share best-practice knowledge amongst the worldwide AWS solution architect community
Understand AWS market segments, and industry verticals.
Understand and exploit the use of internal business support systems.
About the team
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness.
AWS values diverse experiences

Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US