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Physics Informed Machine Learning Jobs in Gresham, OR

Pwc

NGA AI Engineer Senior Manager

Portland, OR · On-site

$91K - $321K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Pwc

NGA AI Engineer Manager

Portland, OR · On-site

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Pwc

US Tech - AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

INTEL

WATD Module Development Engineer

Hillsboro, OR

$148K - $209K/yr

... machine learning techniques to enhance process stability and enable continuous improvement ... Physics, or a related STEM discipline with 6+ years of relevant experience. - OR Master's degree in ...

INTEL

WATD Module Development Engineer

Portland, OR

$148K - $209K/yr

... machine learning techniques to enhance process stability and enable continuous improvement ... Physics, or a related STEM discipline with 6+ years of relevant experience. - OR Master's degree in ...

Intel

WATD Module Development Engineer

Hillsboro, OR · On-site

... machine learning techniques to enhance process stability and enable continuous improvement ... Physics, or a related STEM discipline with 6+ years of relevant experience. - OR Master's degree in ...

Apple

Custom Circuits Design Engineer

Beaverton, OR

$150K - $277K/yr

Machine learning accelerators, SRAM circuits, non-volatile memories, weak / moderate inversion ... device physics, leakage mechanisms, technology interactions with device behavior. - Solid ...

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Physics Informed Machine Learning information

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

As of Jul 13, 2026, the average hourly pay for physics informed machine learning in Gresham, OR is $21.25, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $26.97 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.

Physics Informed Machine Learning jobs near you
Senior Assortment Planner

Senior Assortment Planner

Tiger Analytics Inc.

Beaverton, OR • On-site

Full-time

Posted 26 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking a Senior Assortment Planner to join the Global Demand Planning team. This role will be responsible for leveraging data, statistical forecasting, and planning methodologies to optimize assortment strategies and drive informed business decisions. The ideal candidate will combine strong analytical capabilities with a deep understanding of financial, product, and inventory planning.
Responsibilities:
  • Utilize statistical forecasting techniques, data analysis, and innovative planning approaches to develop assortment plans and support business decision-making.
  • Analyze product performance, inventory trends, and financial metrics to optimize assortment strategies.
  • Partner with cross-functional stakeholders to align assortment plans with business objectives.
  • Develop data-driven recommendations and effectively communicate insights to influence decision-making.
  • Monitor assortment performance and identify opportunities for continuous improvement.
  • Support demand planning initiatives through robust analysis and reporting.

Requirements
    • Bachelor's degree required.
    • 3-5 years of experience in assortment planning, merchandise planning, demand planning, or related fields.
    • Demonstrated experience in assortment planning with a strong understanding of financial, product, and inventory planning.
    • Strong analytical and problem-solving skills with the ability to translate data into actionable insights.
    • Excellent communication and stakeholder management skills, with the ability to influence decisions through data-driven storytelling.
    • Advanced proficiency in Microsoft Excel.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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