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Physics Informed Machine Learning Jobs in Oregon

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... Physics, or a related technical field with 5+ years of relevant experience, or a Master's degree ...

Intel

Machine Learning Engineer

Hillsboro, OR · On-site

Please be informed that Intel is proactively trying to find candidates for this position which is ... machine learning engineering, data science or ML research * Proficient in Python * Proficient in ...

Natera

OR

You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed ...

Deloitte

AI Solutions Architect

Portland, OR

$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 ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ... Signal processing or physics-based modeling * Graph-based reasoning or causal inference * Full ...

Five9

OR

$126K - $166K/yr

Operating at the intersection of advanced machine learning and human-centric design, you will ... Make informed strategic decisions amidst ambiguity. Objectively evaluate product performance ...

NAVEX

Senior Product Manager, AI

Lake Oswego, OR · On-site +1

$130K/yr

Analyze data pipelines, machine learning algorithms, and automated systems. Utilize AI techniques ... High tolerance for ambiguity, an openness to change, and a willingness to take informed risks in ...

Pwc

CTIO 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 ...

Nvidia

OR

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are ... Physics, or Computer Science. MS or PhD desirable. Ways to stand out from the crowd: * Deep ...

Upstart

Credit Risk Manager

OR · On-site +1

... external, and make informed decisions while supporting continued innovation of AI-driven ... Partner with Machine Learning, Product, Risk, and Bank leadership teams to evaluate portfolio ...

Pwc

CTIO - AI Engineer - Experienced Associate

Portland, OR · On-site

$50K - $140K/yr

... machine learning techniques to solve complex business problems - Building data pipelines and confirming data quality for informed decision-making - Conducting exploratory and descriptive analysis to ...

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Physics Informed Machine Learning information

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 Oregon? For Physics Informed Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Oregon look for? The top searched job categories for Physics Informed Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Physics Informed Machine Learning jobs? Cities in Oregon 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 Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Machine Learning Engineer

Machine Learning Engineer

Cellanome

Foster, OR • On-site, Remote

$160K - $215K/yr

Other

Re-posted 15 days ago

Job description

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA offices. Possibility for Remote.

Key Responsibilities:

  • Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components.
  • Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
  • Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
  • Collaborate with cross-functional hardware, software, and product engineering teams to integrate algorithms into our broader software ecosystem.
  • Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency.
  • Create technical documentation, validation reports, and performance metrics to support product development and cross-team collaboration.

Role Requirements:

  • Typically requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience.
  • Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications.
  • Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code.
  • Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization.
  • Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment.
  • Experience with image analysis, computer vision, signal processing, or data-driven algorithm development.
  • Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory.
  • Experience applying algorithmic techniques such as optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems.
  • Familiarity with workflow automation, process optimization, or development of efficient data-processing pipelines.
  • Ability to analyze complex technical problems, evaluate tradeoffs, and develop scalable algorithmic solutions.
  • Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.

Preferred Qualifications:

  • Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration.
  • Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems.
  • Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms.
  • Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution.
  • Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods.

We  provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $160,000 - $215,000/year. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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