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Machine Learning Researcher Jobs in Oregon (NOW HIRING)

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks ... Distill complex research findings and system designs into actionable insights for diverse audiences ...

OR

$122.40K - $161.30K/yr

Design, prototype, research and build AI systems for Vectara. * Train, evaluate and deploy ML ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ... Throughout the internship, you will collaborate with research teams and senior engineers to ...

OR

$122.40K - $161.30K/yr

Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data ... Engineer features and conduct applied research across time-series, geospatial, demographic ...

OR · On-site

$91.40K - $124.90K/yr

This is a research-leaning role focused on theoretical problem formulation, training methodology ... PhD/Master in machine learning, statistics, computer science, information retrieval, or a closely ...

OR

$91.40K - $124.90K/yr

This is a research-leaning role focused on theoretical problem formulation, training methodology ... PhD/Master in machine learning, statistics, computer science, information retrieval, or a closely ...

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/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 ...

Stay up to date with the latest research and innovations in deep learning techniques, implement and ... Experience with development and application of machine learning techniques to solve real world ...

We are seeking a Senior Manager to lead a group of Research Scientists, ML Engineers, Data ... Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ...

We are seeking a Senior Manager to lead a group of Research Scientists, ML Engineers, Data ... Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ...

OR

$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.

OR · On-site

$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.

OR · On-site

$300K - $537K/yr

The Role We are looking for a Machine Learning Scientist to join our team and bring deep ML and ... You will collaborate with other researchers to advance our causal measurement capabilities, own ...

OR · On-site

$104.40K - $143.40K/yr

Applied research and development of innovative deep learning models for lane graph construction ... Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it ...

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 significant role in ...

OR

$300K - $537K/yr

The Role We are looking for a Machine Learning Scientist to join our team and bring deep ML and ... You will collaborate with other researchers to advance our causal measurement capabilities, own ...

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Showing results 1-20

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 May 31, 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 are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

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 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 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 May 2026, with employment types broken down into 60% Full Time, 37% Part Time, and 3% Contract. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $119,581 per year, or $57.5 per hour.
Principal Machine Learning Engineer, Agentic AI

Principal Machine Learning Engineer, Agentic AI

Zillow

On-site, Remote

$204.40K - $326.60K/yr

Full-time

Posted 19 days ago


Zillow rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

9th of 153 rated real estate companies


Job description

About the teamThe Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates deep user insights and sophisticated reasoning. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate professionals to gain efficiency while maintaining Zillow's competitive edge. This lean, customer-focused team comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency.About the role

Zillow is looking for a Principal Machine Learning Engineer on the Agentic AI team to develop advanced multimodal foundational technologies. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. They’ll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making. 

As a Principal Machine Learning Engineer on the Agentic AI team, you will: 

  • Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions

  • Leverage advanced GenAI models including reasoning models, real-time voice API, etc,  to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users.

  • Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production.

  • Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage

  • Distill complex research findings and system designs into actionable insights for diverse audiences—including executives

  • Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation

  • Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization

  • Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $204,400.00 - $326,600.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $194,200.00 - $310,200.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.Who you are

As a Principal Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done engineer who can marry state-of-the-art technology (i.e., LLM models, either from OpenAI or open source) with large-scale engineering. We are looking for someone who has:

  • A master's degree or above,  equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI,  reinforcement learning, AI planning, or natural language processing

  • 7+ years of hands-on work building large-scale, high-impact solutions—ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms

  • Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making

  • Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance

  • A track record of publishing high-impact research in top AI/ML venues is a big plus.

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.


Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


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