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Remote Reinforcement Learning Jobs in Oregon (NOW HIRING)

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

They'll be developing perception and language understanding, deep reasoning, and reinforcement ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Senior Manager, AI Innovation

Salem, OR · On-site +1

$268K - $364K/yr

Strong expertise in core AI domains, including computer vision, reinforcement learning, and large ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

Build alignment and post-training infrastructure - Design infrastructure for reinforcement learning ... remote environments Preferred Qualifications Deep experience with distributed training at scale ...

Build alignment and post-training infrastructure - Design infrastructure for reinforcement learning ... Strong communication skills; effective across distributed time zones and remote environments ...

Manager, Sales Excellence

OR · Remote

$105K - $118K/yr

United States (Remote) Overview The Manager, Sales Excellence, is responsible for designing ... Design reinforcement strategies in partnership with sales leaders Learning Platform & Technology

Senior Instructional Designer

OR · On-site +1

$125K - $170K/yr

... learning on key topics, from product walkthroughs to sales skill reinforcement * Apply ... Experience working across time zones and designing for remote, hybrid, and in-person audiences #LI ...

Remote Reinforcement Learning information

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

To thrive as a Remote Reinforcement Learning Engineer, you need a strong background in machine learning, statistics, and programming (especially Python), often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and RL-specific libraries like OpenAI Gym, along with experience using cloud computing platforms, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication help individuals excel in distributed teams. These skills ensure the successful design, implementation, and deployment of reinforcement learning solutions while collaborating efficiently in a remote work environment.

What are common challenges faced when working remotely in a Reinforcement Learning role and how can they be addressed?

Working remotely in a Reinforcement Learning role often involves overcoming communication barriers with cross-functional teams, managing large-scale experiments without on-site resources, and staying updated with rapidly evolving research. To address these challenges, it's important to establish regular check-ins with colleagues, utilize cloud-based platforms for experiment management, and participate in virtual seminars or journal clubs. Developing strong self-motivation and time management skills is also crucial to maintain productivity in a remote environment.

What is a Remote Reinforcement Learning job?

A Remote Reinforcement Learning job involves developing and applying reinforcement learning algorithms while working from a location outside of a traditional office environment. Professionals in this field focus on creating systems where agents learn optimal behaviors through trial and error, often using feedback from their environment. These jobs typically require expertise in machine learning, programming, and mathematics, and are commonly found in industries like robotics, gaming, and autonomous systems. Working remotely allows researchers and engineers to collaborate with global teams using digital tools and platforms.

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

AspectRemote Reinforcement Learning
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; knowledge of RL algorithms
Work EnvironmentResearch-focused, experimental, often involves simulation and algorithm development
Employer & Industry UsageTech companies, research labs, AI startups focusing on autonomous systems
Common Search & Comparison IntentUnderstanding specialized AI roles, research focus, and technical skills

Remote Reinforcement Learning specialists focus on developing algorithms that enable machines to learn through trial and error in simulated or real environments. In contrast, Remote Machine Learning Engineers typically work on deploying and optimizing various machine learning models across applications. While both roles require strong programming skills and knowledge of AI, reinforcement learning emphasizes decision-making processes, whereas machine learning engineering covers a broader range of models and deployment strategies.

What are the most commonly searched types of Reinforcement Learning jobs in Oregon? The most popular types of Reinforcement Learning jobs in Oregon are:
What are popular job titles related to Remote Reinforcement Learning jobs in Oregon? For Remote Reinforcement Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Reinforcement Learning jobs in Oregon look for? The top searched job categories for Remote Reinforcement Learning jobs in Oregon are:
What cities in Oregon are hiring for Remote Reinforcement Learning jobs? Cities in Oregon with the most Remote Reinforcement Learning job openings:
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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