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Data Engineer Ml Jobs in Portland, OR (NOW HIRING)

Software Engineer

Hillsboro, OR · On-site

$96 - $182/hr

Apply AI/ML techniques end-to-end to improve tool capability, automation, decision support, and ... Build and integrate intelligent features into software systems, including data-driven automation ...

New

ERP AI Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

... AI/ML and power modeling at the SOC/system level for Apple products. This role provides an ... data. Description The job involves collaborating across many fields and playing a role of getting ...

Showing results 21-40

Data Engineer Ml information

See Portland, OR salary details

$48.8K

$175K

$258.2K

How much do data engineer ml jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer ml in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 per year, depending on experience, location, and employer.

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in Portland, OR?

For Data Engineer Ml jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Engineer Ml jobs in Portland, OR look for?

The top searched job categories for Data Engineer Ml jobs in Portland, OR are:

Infographic showing various Data Engineer Ml job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $175,003 per year, or $84.1 per hour.

Modeling Engineer 3 (CFD, Thermal, AI/ML)

Lam Research

Tualatin, OR

Full-time

Posted 6 days ago


Key responsibilities

  • Develop physics-based models for Thermal, CFD, and Chemistry applications related to semiconductor equipment.

  • Utilize simulation data, experimental data, and statistical methods to analyze, calibrate, and improve models, including uncertainty quantification and sensitivity analysis.

  • Collaborate with engineering teams to define design requirements, interpret simulation and experimental results, and support design improvements.


Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

133rd of 496 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 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. 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; and 0-3 years professional experience. Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software. Coding ability to supplement commercial software for specific applications as needs arise.

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 This is a graduate eligible position.

Preferred qualifications Preferred knowledge of chemistry, semiconductor metrology methods, and hardware designs in a vacuum environment is also a plus. Ability to work within a team to own and design concepts and drive design decisions. Established skills in building AI/ML models using simulation data.

Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning. General understanding of uncertainty quantification, Bayesian optimization and probabilistic machine learning is required. 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-CW1 #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

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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

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