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Physics Informed Machine Learning Jobs in Gresham, OR

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

... machine learning engagements while collaborating with various stakeholders to align technical ... or Physics, or equivalent experience • 8+ years of experience in product sales, software ...

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... or Physics, or equivalent experience * 8+ years of experience in product sales, software ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110.80K - $152.20K/yr

... Physics, etc.) or equivalent experience • 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment • 4+ ...

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 ...

Analog Circuit Design Engineer

Hillsboro, OR · On-site

$220K/yr

Preferred Qualifications: * 1+ year of experience with device physics, analog fundamentals (gain ... Familiarity with statistics/DOE and machine learning for design space exploration or correlation

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

AI Performance Library Architect

Hillsboro, OR · On-site

$170.50K - $315.49K/yr

D. degree in Mathematics, Physics, Computer Science, or a relevant STEM field. * 5+ years of ... years+ Machine learning and deep learning algorithms or High-performance computing (HPC ...

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 ...

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 ...

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Physics Informed Machine Learning information

See Gresham, OR salary details

$5

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$26

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

As of May 31, 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 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 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.
AI Solutions Architect

AI Solutions Architect

Deloitte

Portland, OR • On-site

$66.75 - $88/hr

Full-time

Posted 3 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is focused on helping organizations manage and sustain their performance through their most important asset: their people. As an AI Solutions Architect on the Insights, Innovation & Operate team, you will lead sales, solution design, and delivery for artificial intelligence and machine learning engagements while collaborating with various stakeholders to align technical solutions with business needs.
Responsibilities:
• Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements
• Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers
• Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models
• Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities
• Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices
Qualifications:
Required:
• Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience
• 8+ years of experience in product sales, software engineering, technology architecture, or data engineering
• 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment
• 8+ years of experience leading technical teams, including onshore and offshore teams
• 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments
• Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks
• Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in a technical field
• Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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