Ability to design and implement Reinforcement learning and post-training pipelines for LLM to improve model reasoning, safety, and instruction-following capabilities. * Strong programming skills with ...
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 learning to handle AI agent decision-making. As a Principal Machine Learning Engineer on the Agentic AI ...
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 learning to handle AI agent decision-making. As a Principal Machine Learning Engineer on the Agentic AI ...
... Reinforcement Learning Autodesk AI Lab: London San Francisco Toronto Remote (US/CA/EU) The ... Why This Role Unique research surface area Autodesk's domains - architecture, engineering ...
... Reinforcement Learning Autodesk AI Lab: London San Francisco Toronto Remote (US/CA/EU) The ... Why This Role Unique research surface area Autodesk's domains - architecture, engineering ...
Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute & communication overlap in distributed runtimes
Job Requisition ID # 26WD98667 Position Overview Autodesk's domains - architecture, engineering ... Rather than relying solely on human preference data, we can ground reinforcement learning in the ...
Principal AI Research Scientist Post-Training Alignment Reinforcement Learning Autodesk AI Lab:...
Portland, OR · On-site
Job Requisition ID # 26WD98667 Position Overview Autodesk's domains - architecture, engineering ... Rather than relying solely on human preference data, we can ground reinforcement learning in the ...
Principal AI Research Scientist Post-Training Alignment Reinforcement Learning Autodesk AI Lab:...
Portland, OR · On-site
Job Requisition ID # 26WD98667 Position Overview Autodesk's domains - architecture, engineering ... Rather than relying solely on human preference data, we can ground reinforcement learning in the ...
$122.40K - $161.30K/yr
Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton ... Experience with programming for compute & communication overlap in distributed runtime Your base ...
$104.40K - $143.40K/yr
Partnering closely with product managers, marketers, data scientists, and backend engineers to ... Experience in LLM and reinforcement learning.
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 ...
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 ...
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 ...
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 ...
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.
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.
$104.40K - $143.40K/yr
We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to ... Familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and ...
$122.40K - $161.30K/yr
The ideal candidate brings broad experience across machine learning, including reinforcement ... Collaborate with world-class engineers to shape next-generation compiler capabilities that power ...
Strong Python programming skills * Familiarity with containers, numeric libraries, modular software ... models, reinforcement learning etc.) with experience in developing or using major deep learning ...
The engineering organization at ServiceTitan is looking for a leader who will drive the AI/ML ... and reinforcement learning systems - and managing teams within a product company with the ...
New
The engineering organization at ServiceTitan is looking for a leader who will drive the AI/ML ... and reinforcement learning systems - and managing teams within a product company with the ...
New
$122.40K - $161.30K/yr
Reinforcement learning post-training is driving some of the most significant capability gains in AI ... NVIDIA is building an RL Frameworks engineering team to develop the open-source tools and ...
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models ... RecSysOps As a software engineer in the team, you will contribute to the next generation of ...
$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 ...
$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.
$122.40K - $161.30K/yr
Strong proficiency in C++ and Python programming. * Solid background in the fundamentals of Deep ... Familiarity with systems requirements for Reinforcement Learning (RL) or highly parallel simulation ...
Reinforcement Learning Engineer information
See Oregon salary details
$40.2K - $54.9K
5% of jobs
$54.9K - $69.7K
7% of jobs
$69.7K - $84.4K
9% of jobs
$87.6K is the 25th percentile. Wages below this are outliers.
$84.4K - $99.2K
14% of jobs
The median wage is $112.5K / yr.
$99.2K - $113.9K
16% of jobs
$113.9K - $128.7K
13% of jobs
$128.7K - $143.5K
6% of jobs
$151.3K is the 75th percentile. Wages above this are outliers.
$143.5K - $158.2K
8% of jobs
$158.2K - $173K
8% of jobs
$173K - $187.7K
7% of jobs
$187.7K - $202.5K
5% of jobs
$40.2K
$122.5K
$202.5K
How much do reinforcement learning engineer jobs pay per year?
As of May 30, 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 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 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 is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?
| Aspect | Reinforcement Learning Engineer | Machine Learning Engineer |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, AI, or related; experience with RL frameworks | Bachelor's/Master's in CS, Data Science, or related; experience with ML algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on RL applications | Tech companies, data-driven firms, AI departments across industries |
| Industry Usage | Specialized in RL projects like robotics, game AI, autonomous systems | Broader 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:
Job description
The NVIDIA developer marketing group is looking for a developer advocate who is passionate about working with innovative technology, building well-documented inspirational demos, and sharing that code with the AI community. Our team is deeply committed to championing the developer ecosystem that builds applications on NVIDIA's platform. We need a candidate who understands developers and works with the developer marketing on launching new technology.
Do you have the rare blend of both engineering and marketing skills? We need hard-working and creative people who are passionate about teaching our developer community how to employ accelerated computing. If you aspire to this calling, we would love to learn more about you!
What you'll be doing:
Create impactful and relevant content (e.g., demos, blogs, presentations, videos, etc.) and engage with developers, researchers, and students at events online or in person.
Collaborate with the product marketing team to launch emerging technology, write code, and share it with the community to inspire developers.
Actively participate on public-facing NVIDIA channels, including forums, Discord, and social media, helping developers understand our demos and encouraging them to build their own applications.
Some travel may be required to present at trade shows and conferences.
What we need to see:
Bachelor's degree in Computer Science or related field (or equivalent experience).
5+ years of relevant experience, including 3 years of engineering experience (or equivalent).
World-class communication and presentation skills with a proven track record of articulating the value proposition of an emerging technology.
Experience presenting to technical audiences and writing developer-facing content. You will be asked to provide samples of prior work.
Ability to design and implement Reinforcement learning and post-training pipelines for LLM to improve model reasoning, safety, and instruction-following capabilities.
Strong programming skills with the ability to develop easy-to-understand examples on training pipeline using AI frameworks such as PyTorch, JAX, and NeMo-RL
Ability to prioritize and work through constantly evolving projects that strive to demonstrate the benefits of new, potentially unstable technology.
Ways to stand out from the crowd:
In-depth knowledge of software architecture, system design, and application development.
Hands-on experience popular reinforcement learning libraries such as Unsloth, TRL, OpenRLHF.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993