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Research Engineer Jobs in Oregon (NOW HIRING)

Senior Engineer - Quantum Error Correction Libraries

OR · On-site +1

$122K - $161K/yr

Researching, developing and optimizing GPU-accelerated algorithms across multiple hardware generations Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the ...

UCT is looking for a talented R&D Engineer III to join us in Hillsboro, OR! Job Summary: Plans, develops and executes the testing and implementation of new technologies aimed at introducing new ...

UCT is looking for a talented R&D Engineer III to join us in Hillsboro, OR! Job Summary: Plans, develops and executes the testing and implementation of new technologies aimed at introducing new ...

R&D Electrical Engineer

Corvallis, OR · On-site

$93K - $143K/yr

R&D Electrical Engineer Description - Job Summary We are seeking an experienced Electrical Engineer to design next-generation industrial presses based on HP's inkjet technology. HP PageWide ...

ATI is currently looking for a Research and Development Metallurgist (or Melt Engineer) at our Millersburg, Oregon location. We're looking for someone highly motivated with a proactive mindset, has ...

NVIDIA is seeking an experienced Principal EDA R&D Engineer to pioneer the next generation of Hardware Formal Verification tools. In this position, you will lead research, architecture, and ...

NVIDIA is seeking an experienced Principal EDA R&D Engineer to pioneer the next generation of Hardware Formal Verification tools! In this position, you will lead research, architecture, and ...

Showing results 41-60

Research Engineer information

See Oregon salary details

$39.1K

$112.1K

$150.7K

How much do research engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for research engineer in Oregon is $112,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What is a research engineer?

Research engineers are professionals who apply scientific and engineering principles to conduct research, develop new products, and improve existing technologies. They typically work in laboratories, research and development departments, or academic settings, collaborating with scientists and other engineers. Their work often involves designing experiments, analyzing data, and creating prototypes to solve technical problems or advance knowledge in their field.

How do research engineers typically collaborate with cross-functional teams during a project?

Research Engineers often work closely with scientists, data analysts, product managers, and software engineers to develop and implement innovative solutions. Collaboration usually involves regular meetings to align on project goals, sharing technical findings, and integrating research outcomes into product development. Effective communication and the ability to translate complex research concepts into actionable insights are key to ensuring the project progresses smoothly and meets its objectives.

What are the key skills and qualifications needed to thrive as a research engineer, and why are they important?

To thrive as a Research Engineer, a strong background in engineering principles, advanced mathematics, and scientific research—often supported by a relevant degree or postgraduate study—is essential. Familiarity with data analysis tools like MATLAB or Python, CAD software, and laboratory instrumentation is typically required, along with experience in technical report writing. Strong analytical thinking, creativity, and effective collaboration skills help Research Engineers excel in multidisciplinary teams. These competencies are vital for developing innovative solutions, advancing technology, and ensuring rigorous, impactful research outcomes.

What is the difference between Research Engineer vs Data Scientist?

AspectResearch EngineerData Scientist
Required CredentialsTypically requires a master's or Ph.D. in engineering, computer science, or related fieldsUsually holds a master's or Ph.D. in statistics, computer science, or related areas
Work EnvironmentResearch labs, R&D departments, technology companiesData analysis teams, analytics departments, tech firms
Employer & Industry UsageUsed in engineering, manufacturing, aerospace, and tech industriesCommon in finance, healthcare, marketing, and tech sectors

Research Engineers focus on developing new technologies, prototypes, and engineering solutions, often working on hardware or system design. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and advanced degrees, their core functions and industry applications differ significantly.

Do I need a PhD to be a research engineer?

A PhD is not always required to become a research engineer, as many roles value relevant experience, technical skills, and a bachelor's or master's degree in engineering, computer science, or related fields. However, some specialized research positions or advanced projects may prefer or require a doctoral degree. Practical skills, problem-solving ability, and familiarity with tools like MATLAB or Python are also important for success in this role.

What are the most commonly searched types of Research Engineer jobs in Oregon?

The most popular types of Research Engineer jobs in Oregon are:

What are popular job titles related to Research Engineer jobs in Oregon?

For Research Engineer jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Research Engineer job openings in Oregon as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $112,085 per year, or $53.9 per hour.

Senior Machine Learning Engineer, Operations Research

OR • On-site, Remote

Instacart
Technology, Communication and Media • 10K+ employees

$204K/yr

Full-time

Re-posted 7 days ago


Instacart rating

6.4

Company rating: 6.4 out of 10

Based on 34 frontline employees who took The Breakroom Quiz


Job description

Overview:

We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this role, you will work at the intersection of combinatorial optimization, mathematical programming, and AI to solve high-impact problems in the fulfillment space - including order batching, shopper routing, service availability prediction, and real-time assignment. You'll partner closely with engineering, product, and data science to ship models and algorithms that directly influence Instacart's profitability and shopper experience at scale.

The Logistics & ML group is responsible for the intelligence and execution behind Instacart's fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

  • Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
  • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.


About You:

Minimum Qualifications:

  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels
  • Graduate degree (masters or PhD) in Operations Research or Industrial Engineering or closely related field

Preferred Qualifications:

  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems


#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012