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Reinforcement Learning Engineer Jobs in Oregon (NOW HIRING)

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204K - $326K/yr

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 ...

Intel

Machine Learning Engineer

Hillsboro, OR · On-site

... tuning and reinforcement learning. * Previous experiences designing and building evaluation ... Research-engineering balance: Ability to produce production-quality implementations of novel ...

Instacart

OR · On-site

$104K - $143K/yr

Partnering closely with product managers, marketers, data scientists, and backend engineers to ... Experience in LLM and reinforcement learning.

Fuze Health

OR

... reinforcement learning to improve prescription and fulfillment workflows. * Identify and prioritize high-impact opportunities for ML and automation, collaborating with product, engineering, and ...

Fuze Health

OR · On-site

... reinforcement learning to improve prescription and fulfillment workflows. * Identify and prioritize high-impact opportunities for ML and automation, collaborating with product, engineering, and ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site +1

$185K - $288K/yr

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

Netflix

OR

$466K - $750K/yr

... reinforcement learning Links: Netflix Research site Our long term business view NOTE: This job posting is inclusive of a variety of positions within our AI for Member Systems (AIMS) Engineering group.

Netflix

OR

$466K - $750K/yr

Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models Evidence Personalization Page Simulation for Better Offline Metrics at Netflix RecSysOps As a software engineer ...

Natera

Staff Machine Learning Scientist, Agentic AI

OR · On-site +1

... of-Thought, alongside reinforcement fine-tuning (RFT) to ensure agents provide accurate ... Establish production-grade machine learning engineering standards and reproducible architectures ...

Baylor Scott & White Health

$114K/yr

Designs complex machine learning systems using programming skills, which involves assessing and ... reinforcement learning, etc.). * Technical expertise with multiple compute environments.

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Reinforcement Learning Engineer information

See Oregon salary details

$40.2K

$122.5K

$202.5K

How much do reinforcement learning engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for reinforcement learning engineer in Oregon is $122,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $160,200.00 per year, depending on experience, location, and employer.

What are Reinforcement Learning Engineers?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a Reinforcement Learning Engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Reinforcement Learning Engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Oregon? For Reinforcement Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Oregon look for? The top searched job categories for Reinforcement Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Reinforcement Learning Engineer jobs? Cities in Oregon with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Principal Machine Learning Engineer, Agentic AI

Principal Machine Learning Engineer, Agentic AI

Zillow

OR • On-site, Remote

$204K - $326K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Zillow rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

9th of 154 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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