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Machine Learning Researcher Jobs in Oregon (NOW HIRING)

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Lead Machine Learning Engineer

OR · On-site +1

$102K - $134K/yr

We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you ... PhD and/or published research in the described specialty domains. * Familiar with common post ...

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Translate cutting-edge research advances into practical, high-impact production systems.

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... research into scalable, production-grade systems. * Agent & System Quality: Design evaluation ...

Applied Machine Learning Research at Netflix drives various aspects of our business, including personalization, recommendations, search, content understanding, messaging, targeting, new member ...

Applied Scientist

OR · On-site +1

The team conducts machine learning research, evaluates model performance, and partners closely with engineering teams to translate promising ideas into scalable model improvements. As an Applied ...

OR · On-site

$204K - $326K/yr

Distill complex research findings and AI system architectures into actionable insights for a ... Who you are As a Principal Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done ...

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

Architect and drive the technical roadmap for a production-grade localization machine learning ... Lead the research, design, training, and validation of advanced neural architectures. This includes ...

You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests.

Senior Software Engineer, JAX

OR · On-site +1

$122K - $161K/yr

Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world. What You Will Be Doing: Play meaningful role in NVIDIA ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global ...

Showing results 41-60

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 Sep 13, 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:

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.

Research Scientist Intern (2025)

Portland, OR • On-site

Whiterabbit.ai
Software Development • 51 - 200 employees

Other

Re-posted 24 days ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity