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Machine Learning Researcher Jobs in Oregon (NOW HIRING)

Upstart

Principal Applied Scientist

OR · On-site +1

The work sits at the intersection of operations research, optimization, causal machine learning, and production decision systems. How you'll make an impact: * Define the technical vision for how ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

... research, or other highly regulated data environment. * Statistical & ML Expertise: Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian ...

Netflix

Research Scientist 5 - Ads, Identity Matching

OR · On-site +1

$466K - $750K/yr

We continually improve ad targeting capabilities through machine learning, analytics, data ... This role is for a Research Scientist to focus on identity modeling for our ads audience, including ...

Varsity Tutors

Statistics Graduate Level Tutor

OR · Remote

$18 - $40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Statistics Graduate Level Tutor

Eugene, OR · Remote

$18 - $40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Lumen Technologies

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

You will combine deep expertise in AI and machine learning with strong software engineering ... Contributions to AI research, patents, publications, or open-source projects. Join Lumen's AI ...

SentinelOne

Principal AI Engineering Architect

OR · On-site +1

... research into production-grade, globally scalable products that proactively stay ahead of ... Deep expertise in building highly available, low-latency machine learning systems, including ...

Cresta

Lead Engineer - AI Agent Voice Experience

OR · On-site +1

You will develop and improve machine learning systems that power voice experiences end to end ... You will partner closely with applied researchers, product managers, designers, forward deployed ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... research. The preferred qualifications are in addition to the minimum requirements and are ...

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All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Oregon

Machine Learning Researcher information

See Oregon salary details

$31.7K

$119.6K

$173.9K

How much do machine learning researcher jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning researcher in Oregon is $119,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $162,800.00 per year, depending on experience, location, and employer.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What are the most commonly searched types of Machine Learning Researcher jobs in Oregon?

The most popular types of Machine Learning Researcher jobs in Oregon are:

What are popular job titles related to Machine Learning Researcher jobs in Oregon?

For Machine Learning Researcher jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Machine Learning Researcher jobs in Oregon look for?

The top searched job categories for Machine Learning Researcher jobs in Oregon are:

Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,581 per year, or $57.5 per hour.

Vision Systems Engineer 4

Lam Research Corporation

Tualatin, OR • On-site

Full-time

Posted 11 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

131st of 494 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
At Lam, as a Product Engineer, you thrive in high-stakes, dynamic environment, driving product development at the forefront of the semiconductor equipment industry. Collaborating closely with customers and internal teams, you will provide real-time problem-solving to customer challenges and to enhance our products. Your passion for engaging with customers and innovative engineering drives progress in our industry, tackling the once unsolvable.
In this role, you will directly contribute to Equipment Intelligence team in The Deposition Group.
What you'll do
  • Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
  • Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
  • Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
  • Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
  • Define data quality standards and establish model performance metrics to ensure production readiness.
  • Collaborate with process engineers, software developers, hardware engineers, and product teams to deliver integrated vision solutions.
  • Conduct root-cause analysis and use advanced analytics to improve yield, process stability, and equipment performance.
  • Drive innovation by evaluating emerging AI, machine learning, and computer vision technologies.
  • Mentor junior engineers and provide technical guidance on best practices in data science and machine learning.

Who we're looking for
We are seeking a highly skilled Vision System Data Science Engineer to lead the design, development, and deployment of advanced computer vision and machine learning solutions for complex industrial and manufacturing applications. The ideal candidate combines deep expertise in data science, computer vision, machine learning, and software engineering to transform image and sensor data into actionable insights that improve product quality, process control, and operational efficiency. As a senior technical contributor, you will drive end-to-end vision system development, collaborate with cross-functional teams, and provide technical leadership in AI-driven imaging and analytics initiatives.
Minimum Qualifications:
Master's degree in Data Science, Computer Science, Physics, or related field with 8+ years of relevant experience; or Ph.D. with 5+ years of experience.
Strong expertise in:
Computer Vision
Machine Learning and Deep Learning
Statistical Modeling and Experimental Design
Image Processing and Pattern Recognition
Proficiency C/C++ , in Python and scientific computing libraries such as:
TensorFlow and/or PyTorch
OpenCV
Experience developing and deploying production AI/ML systems.
Strong knowledge of CNNs, object detection, segmentation, and anomaly detection methodologies.
Experience with cloud platforms (Azure, AWS, or GCP) and MLOps practices.
Ability to handle large-scale structured and unstructured datasets.
Preferred qualifications
  • Experience in semiconductor manufacturing, industrial automation, robotics, medical imaging, or advanced inspection systems.
  • Knowledge of optical systems, cameras, sensors, and imaging hardware.
  • Experience with edge AI deployment and real-time inference systems.
  • Familiarity with SQL, Spark, Databricks, and distributed computing environments.
  • Increased process efficiency, yield, or product quality through AI-driven insights.
  • Successful deployment and adoption of vision solutions in production environments.
  • Technical leadership and influence across multiple engineering programs.

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.
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

Social media

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