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Physics Informed Machine Learning Jobs in Oregon

Stride, Inc.

OR

Drives the conception, prototyping, and deployment of machine learning models-particularly in ... Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field ...

Nvidia

OR

$63 - $83/hr

... Physics, Computer Science, Data Science, or similar (or equivalent experience). * 5+ years experience demonstrating an established track record in Deep Learning and Machine Learning. Strong software ...

Five9

OR

$126.40K - $166.80K/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 ...

Pwc

CTIO AI Engineering Manager

Portland, OR

$73.50K - $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

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

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 ...

Nvidia

OR

Familiaritywith classical machine learning methods. * A track record of publicationsin premier quantum computing or applied physics venues (e.g., PRX Quantum , Quantum , npj Quantum Information

RAND Corporation

Associate AI Security Resident

OR · On-site +1

... Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or ...

Nvidia

OR · On-site

Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure ... Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim; * Robot hardware ...

RAND Corporation

OR

... Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or ...

Apple

Custom Circuits Design Engineer

Beaverton, OR · On-site

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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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.
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Physics Informed Machine Learning jobs near you
Data Scientist I or II (MAD-BS-OR)

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

Hitachi, Ltd.

Hillsboro, OR • On-site

$121.67K - $167.30K/yr

Full-time

Posted 27 days ago

Job description

Location:
(HTA) NCP (Hillsboro, OR)
Job ID:
R0128931
Date Posted:
2026-05-01
Company Name:
HITACHI HIGH-TECH AMERICA, INC.
Profession (Job Category):
Data Analytics/Business Intelligence
Job Schedule:
Full time
Remote:
No
Job Description:
POSITION: Data Scientist I or II
DIVISION: Metrology and Analysis Systems Division (MAD)
COMPANY: Hitachi High-Tech America, Inc. ("HTA")
TRAVEL: Up to 5% (internationally)
REMOTE WORK: Hybrid (+50% Remote) - Remote 60% / Onsite 40%
EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually
Data Scientist II: $121,673 - $167,301 annually
This pay range is for the position's base pay only. This position may be eligible for other compensation including bonus pay and/or allowances. Candidates will receive additional information during the interview and selection process.
Position Level: The best fit candidate selected for this position will be offered a job title/level (Data Scientist I vs. Data Scientist II) that is most appropriate after evaluating the person's education, experience, training, knowledge, skills, and abilities.
POSITION SUMMARY
Data Scientists are responsible for the development and maintenance of Artificial Intelligence (AI) software and systems for Hitachi High-Tech America, Inc. (HTA) products.
PRIMARY RESPONSIBILITIES
  • Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration
  • Develop, train, and deploy ML models for Time-series forecasting and anomaly detection. Classification and regression on tabular and sensor data, predictive maintenance and failure prediction
  • Design end-to-end ML pipelines including Data ingestion, feature engineering, model training, evaluation, and deployment
  • Lead and support Root Cause Analysis (RCA) investigations using data-driven approaches
  • Build frameworks for Fault Tree Analysis (FTA) and failure mode identification
  • Collaborate with domain experts (engineering, operations) to translate failure patterns into ML features and models
  • Design and develop Agentic AI systems capable of:
    • Autonomous reasoning over structured and unstructured data
    • Tool usage (query engines, APIs, analytics pipelines)
    • Multi-step decision making and diagnostics workflows
  • Implement LLM-based systems with:
    • Tool-calling frameworks
    • Retrieval-Augmented Generation (RAG)
    • Structured outputs and validation pipelines
  • Partner with cross-functional teams (Data Engineers, Software Engineers, Domain Experts)
  • Build scalable, production-ready solutions using:
    • Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
    • Data processing tools (Pandas, Spark, SQL)
  • Deploy models and services using:
    • REST APIs (FastAPI, Flask)
    • Containerization (Docker, Kubernetes)
  • Work with modern data platforms:
    • Time-series DBs (e.g., Prometheus, InfluxDB)
    • Analytical DBs (e.g., ClickHouse, PostgreSQL)
    • Vector DBs (e.g., Qdrant, FAISS)
  • Translate business problems into technical solutions
  • Creating architecture and complex designs independently and documenting them
  • Integrate and test software to confirm compliance with specifications
  • Developing functional specifications
  • Participate in design reviews, code reviews of peers and test reviews
  • Performing functional tests
  • Other duties as assigned

EDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS
  • Master of Science degree in Data Science, Statistics, Computer Science, or similar quantitative field

EXPERIENCE and TRAVEL REQUIREMENTS
  • Must have at least five (5) years of practical experience in writing algorithms in Machine Learning, Statistical Modelling, Neural Nets, and Pattern Recognition from data exploration
  • Five (5) years of experience in Data Science / Machine Learning
  • Strong programming skills in Python
  • Proven experience with:
    • Time-series analysis and anomaly detection
    • Statistical modeling and machine learning algorithms
  • Hands-on experience with:
    • Root Cause Analysis (RCA)
    • Fault Tree Analysis (FTA) or failure modeling
  • Experience working with real-world, noisy, and large-scale datasets
  • Experience with Agentic AI / LLM systems, including:
    • Tool-calling architecture
    • RAG pipelines
    • Prompt engineering and evaluation frameworks
  • Familiarity with:
    • Distributed systems and scalable ML infrastructure
    • MLOps practices (CI/CD, monitoring, model versioning)
  • Knowledge of:
    • Signal processing or physics-based modeling
    • Graph-based reasoning or causal inference
  • Full software development lifecycle experience, must be comfortable working using Agile as well as iterative methodologies
  • Experience with Test-driven development using tools to spot performance issues and memory leaks.
  • This position requires international travel for business purposes - up to 5%

SKILLS and ABILITIES REQUIREMENTS / SAFETY REQUIREMENTS
  • Ability to investigate and apply new technologies
  • Effective oral and written communication skills, including ability to effectively communicate challenging or technical concepts.
  • Excellent relationship building skills
  • General technical knowledge of semiconductor metrology equipment
  • Strong engineering analytical and problem-solving skills
  • Proactively undertake R&D activities and deliver tangible results under deadlines
  • Ability to manage multiple tasks and prioritize work accordingly
  • Work longer than normal hours as needed during releases and customer escalations
  • Self-sufficient, self-reliant, and self-disciplined, but also able to operate effectively as part of a team
  • Ability to comprehend and enforce safety policies

Equal Opportunity Employer (EOE)
Hitachi High-Tech America, Inc. is an equal opportunity employer. Hitachi High-Tech America, Inc. is committed to equal employment opportunities for qualified applicants without discrimination on the basis of actual or perceived of race (including traits historically associated with race, such as natural hairstyle), color, national origin, ancestry, religious creed, age, sex, sexual orientation, gender (including gender expression and gender identity), marital status, registered domestic partner status, family status, military and veteran status, domestic violence victim status, medical condition (including genetic characteristics), physical or mental disability, pregnancy, or any other legally protected characteristic or status.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to HTA-AccommodationRequests@hitachi-hightech.com
Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017

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