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Physics Informed Machine Learning Jobs in Spokane, WA

U-Haul

Customer service rep

Spokane Valley, WA

$16.25 - $22/hr

... informed • Complete training and maintain knowledge by participating in on-line and hands on ... learning who provides high quality service to our customers Click on the link below to learn more ...

U-Haul

Customer service rep

Spokane Valley, WA

$16 - $21.75/hr

... informed Complete training and maintain knowledge by participating in on-line and hands on ... learning who provides high quality service to our customers Click on the link below to learn more ...

U-Haul

Customer service rep

Spokane Valley, WA · On-site

$16 - $21.75/hr

... informed • Complete training and maintain knowledge by participating in on-line and hands on ... learning who provides high quality service to our customers Click on the link below to learn more ...

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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 Spokane, WA is $20.29, according to ZipRecruiter salary data. Most workers in this role earn between $12.64 and $25.77 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 Spokane, WA? For Physics Informed Machine Learning jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Spokane, WA look for? The top searched job categories for Physics Informed Machine Learning jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Physics Informed Machine Learning jobs? Cities near Spokane, WA with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
DIA Maching Lrng Eng

DIA Maching Lrng Eng

Ford Motor Company

Spokane Valley, WA

Full-time

Medical, Dental, Life, PTO

Posted 15 days ago

Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

  • Bachelor's degree in computer science, mathematics, statistics, operations research, or related field 

  • Experience with the complete software lifecycle

  • 1+ years of experience with delivering and maintaining production software products

  • Strong technical writing and oral communication skills

  • Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps

  • Experience in productionizing generative AI to solve critical business problems

  • Preferred Qualifications

  • Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

    • OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science 

    • OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience

  • Experience with cloud-based deployments and best practices

  • Demonstrated contributions and expertise in one or more of the following AI domains:

    • Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)

    • Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)

    • Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)

    • Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
 
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote unless you are within 50 miles of Dearborn, MI, then you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance is NOT provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-SG8

  • Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

  • Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

  • Apply AI and Machine Learning technology to solve complex, real-world problems

  • Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely

  • Fulfill problem formulation and ML technique consulting requests in a timely manner

  • Communicate and present analytical models to business customers and executive management

  • Work collaboratively with different business partners and be able to present results in a clear and concise manner

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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