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Machine Learning Researcher Jobs in Oregon (NOW HIRING)

May Mobility

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 ...

May Mobility

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 ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

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.

Cresta

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 ...

Netflix

Research Scientist 5/6 - AI for Member Systems

OR · On-site +1

$466K - $750K/yr

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

Upstart

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 ...

May Mobility

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 ...

Netflix

Software Engineer 4/5- AI for Member Systems

OR · On-site +1

$466K - $750K/yr

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.

Smarsh

Lead Data Scientist

OR · On-site +1

On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to ...

Netflix

Research Engineer 5/6 - AI for Member Systems

OR · On-site +1

We're looking for a passionate and talented Research Engineer to join our Al for Member Systems ... In this role, you will apply your expertise in machine learning and software engineering to design ...

New Jersey Institute of Technology

$35.71/hr

Summer Researcher Department: Associate Professor Reports To: Associate Professor Position Summary ... Implement and refine machine learning models, including neural networks and random forests, for ...

Deegit Inc

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

... research including ASR, echo cancelation, feedback cancellation, ANC, vocal pitch shifting and transformation. Proficient in DSP theory, scientific programming, adaptive filtering, machine learning ...

Liftoff

Staff Product Manager, Conversion ML

OR · On-site +1

Develop new ideas to improve our machine learning platform and models * Develop experimentation plans via brainstorming, market research, and deep analysis * Work with a world class team of engineers ...

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Showing results 21-40

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.

Lead Machine Learning Engineer

May Mobility

OR • On-site, Remote

$102K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May's Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.

Essential Responsibilities
  • Design, train and evaluate state of the art models for May's autonomous driving, simulation and ML Platform stack.
  • Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.  
  • Lead small teams of cross functional Engineers beyond the state of the art.
  • Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale.
Skills and Abilities

Success in this role typically requires the following competencies:

  • Direct experience architecting & training VLA, MMLM, or Generative World Models for commercial-scale applications
  • Experience composing, processing and characterizing large (>100TB) multi-modal datasets
  • Experience analyzing and addressing long-tail failure cases in large models
  • Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.
Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required
  • Extensive practical experience in one of the following domains:
    • Vision Language Action Models
    • Generative World Models
    • Foundation Models in Robotics
    • Data Centric AI
  • A minimum of 4 years of industry experience working on commercial robotics systems.
  • A minimum of 1 year mentoring ML Engineers in a commercial or lab environment.
  • Master's degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.
  • Practical experience handling the "Long Tail" problem in Machine Learning.
  • Strong programming skills in Python/PyTorch in a Linux environment.
  • Functional understanding of LiDAR, Camera and Radar processing techniques.
Desirable
  • PhD and/or published research in the described specialty domains.
  • Familiar with common post-training techniques.
  • Experience deploying models to resource constrained and edge hardware
  • Functional understanding of C/C++/CUDA memory and threading models.
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
  • Travel required? -  Low: 5%-10%

Benefits and Perks

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. 
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work. 
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing   
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

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