Developing physics-based models for Thermal/CFD/Chemistry applications for components in ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Developing physics-based models for Thermal/CFD/Chemistry applications for components in ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Developing physics-based models for Thermal/CFD/Chemistry applications for components in ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Developing physics-based models for Thermal/CFD/Chemistry applications for components in ... General understanding of uncertainty quantification, Bayesian optimization and probabilistic ...
Senior Data Scientist
OR · On-site +1
$140K - $190K/yr
Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. * AI Monitoring and ...
Senior Data Scientist
OR · On-site +1
$140K - $190K/yr
Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. * AI Monitoring and ...
... g., Bayesian networks, structural causal models) Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) Understanding of explainable AI techniques (SHAP, LIME ...
... g., Bayesian networks, structural causal models) Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) Understanding of explainable AI techniques (SHAP, LIME ...
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
Quick apply
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
Machine Learning Engineer
Portland, OR · On-site
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
Machine Learning Engineer
Portland, OR · On-site
... Bayesian networks, structural causal models) • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) • Understanding of explainable AI techniques (SHAP, LIME ...
Senior Data Scientist - USA Remote
OR · On-site +1
Bayesian optimization). * Conduct RWE analytics of EHR/claims/registries/device telemetry to drive ... and largescale model deployment. Within Danaher Diagnostics, we offer a broad array of ...
Senior Data Scientist - USA Remote
OR · On-site +1
Bayesian optimization). * Conduct RWE analytics of EHR/claims/registries/device telemetry to drive ... and largescale model deployment. Within Danaher Diagnostics, we offer a broad array of ...
Machine Learning Engineer
Foster, OR · On-site +1
$160K - $215K/yr
Familiarity with AI/ML concepts and workflows, including data preprocessing, model training ... filtering, Bayesian estimation, nonlinear optimization, or stochastic methods. We provide ...
Machine Learning Engineer
Foster, OR · On-site +1
$160K - $215K/yr
Familiarity with AI/ML concepts and workflows, including data preprocessing, model training ... filtering, Bayesian estimation, nonlinear optimization, or stochastic methods. We provide ...
Statistics Graduate Level Tutor
OR · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
OR · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Eugene, OR · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Eugene, OR · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Portland, OR · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Portland, OR · Remote
$40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Experience building, validating, and operationalizing Marketing Mix Models (preferably Bayesian approaches using PyMC, Stan, or similar) and triangulating MMM with experiment results. * Familiarity ...
New
Experience building, validating, and operationalizing Marketing Mix Models (preferably Bayesian approaches using PyMC, Stan, or similar) and triangulating MMM with experiment results. * Familiarity ...
New
Unsupervised learning (clustering, anomaly detection), hierarchical/probabilistic forecasting, Bayesian methods, or causal inference * Experience optimizing models for business ROI; exposure to ...
Unsupervised learning (clustering, anomaly detection), hierarchical/probabilistic forecasting, Bayesian methods, or causal inference * Experience optimizing models for business ROI; exposure to ...
Experience with dynamical systems modeling for cell state transitions, or inverse problem ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
Experience with dynamical systems modeling for cell state transitions, or inverse problem ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
OR · On-site
... or Bayesian) in different phases of drug development * Expertise in advanced statistical analysis methods, modeling and simulation * Knowledge of multiple disease areas and related regulatory ...
Machine Learning Engineer, Senior Manager
OR · On-site +1
... with Bayesian contextual multi-armed bandits * Growth: Foster long-term growth through data-driven causality and incrementality * Gen-AI: Power existing applications with Gen AI models and ...
Machine Learning Engineer, Senior Manager
OR · On-site +1
... with Bayesian contextual multi-armed bandits * Growth: Foster long-term growth through data-driven causality and incrementality * Gen-AI: Power existing applications with Gen AI models and ...
Develop physics-of-failure models to guide accelerated life testing, operating limits, and design ... Estimation, Bayesian methods, Monte Carlo simulation). * Experience with failure analysis ...
Develop physics-of-failure models to guide accelerated life testing, operating limits, and design ... Estimation, Bayesian methods, Monte Carlo simulation). * Experience with failure analysis ...
Experience with dynamical systems modeling for cell state transitions, or inverse problem ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
Experience with dynamical systems modeling for cell state transitions, or inverse problem ... Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics.
$35 - $43/hr
Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem ... Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference ...
$35 - $43/hr
Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem ... Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference ...
Bayesian Modeling information
What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?
To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.
How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?
Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.
What is Bayesian modeling?
Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
What is the difference between Bayesian Modeling vs Data Scientist?
| Aspect | Bayesian Modeling | Data Scientist |
|---|---|---|
| Required Credentials | Statistics, Mathematics, Data Analysis | Statistics, Computer Science, Data Analysis |
| Work Environment | Research-focused, statistical modeling | Cross-functional, data analysis, visualization |
| Industry Usage | Research, academia, specialized analytics | Business, tech, finance, healthcare |
| Common Search/Comparison | Yes | Yes |
Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.
What are popular job titles related to Bayesian Modeling jobs in Oregon? For Bayesian Modeling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Oregon look for? The top searched job categories for Bayesian Modeling jobs in Oregon are:
What cities in Oregon are hiring for Bayesian Modeling jobs? Cities in Oregon with the most Bayesian Modeling job openings:
Full-time
Posted 28 days ago
Lam Research rating
8.9
Based on 43 frontline employees who took The Breakroom Quiz
29th of 415 rated machine equipment manufacturers
Job description
The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
We move atoms that move the world.
At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars-even medical devices) has been made using our equipment.
As one of the world's most trusted suppliers in the semiconductor equipment industry, we're transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations.
To build a prosperous career, start with an atom.
Should you choose to walk the path historically driven by Moore's law, your primary job function will involve cutting edge R&D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you.
What you'll do
Who we're looking for
Preferred qualifications
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
IND123 #LI-NB1 #LI-Onsite
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
We move atoms that move the world.
At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars-even medical devices) has been made using our equipment.
As one of the world's most trusted suppliers in the semiconductor equipment industry, we're transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations.
To build a prosperous career, start with an atom.
Should you choose to walk the path historically driven by Moore's law, your primary job function will involve cutting edge R&D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you.
What you'll do
- Developing physics-based models for Thermal/CFD/Chemistry applications for components in semiconductor capital equipment industry. Experience in commercial software like ANSYS Fluent, Star CCM+, or COMSOL, etc., is highly desirable.
- Strong ability in closed-form solutions and analytical methods development and understanding fundamentals in fluid mechanics.
- Utilizing DOE, Optimization, and statistical methods and data driven modeling to correlate Simulation data to experimental data.
- Predict, measure, and analyze the experimental data for uncertainty Quantification & propagation, sensitivity analysis, statistical inference for model calibration, decision making under uncertainty.
- Multi-scale modeling from nano, meso to macro levels
- Provide design improvements of in-service tools based upon quantitative field measured failure data and less quantitative quality metrics as measured by Lam Research.
- Provide written reports and oral presentation of results to design teams and management.
- Work directly with mechanical, electrical, process and software engineers to define design requirements, goals and objectives of design, CIP, testing and simulation plans.
- Strong written and oral communication. Self-starter to start own initiatives and projects for continuous improvement in capabilities and design.
- Put your running shoes on: In this job you'll work in a highly dynamic and rapidly changing environment within a team of interdisciplinary experts driving to solutions to the most challenging business needs.
Who we're looking for
- PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid Dynamics, Heat transfer, Chemistry, or related fields with >6 years of experience in a related industry, e.g., semiconductor, gas turbine, aerospace, automotive, etc.
- Ability to work with a team to drive product development and design decisions. Propose design concepts and own decisions.
- Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software. Building and maintaining codes of AI/ML models with either simulation or test data. Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning.
- Coding ability to supplement commercial software for specific applications as needs arise.
- Knowledge of chemistry, semiconductor metrology methods, and hardware designs in a vacuum environment is also a plus.
- General understanding of uncertainty quantification, Bayesian optimization and probabilistic machine learning is required.
Preferred qualifications
- Ability to effectively communicate and build relationships to interact, inform, influence, and communicate with key stakeholders at all levels across the company.
- Strong critical thinking skills demonstrated through problem-solving, attention to detail and innovation.
- Strong analytical skills demonstrated through First Principles Thinking, statistical Analysis and Physics-based Insights
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
IND123 #LI-NB1 #LI-Onsite
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
What Lam Research employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Lam Research
Sourced by ZipRecruiter
Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Fremont, CA, US
Year founded
1980