The Search WPPO Science team is responsible for developing large-scale machine learning systems-spanning ranking, reinforcement learning, and large language models (LLMs)-that power the next ...
The Search WPPO Science team is responsible for developing large-scale machine learning systems-spanning ranking, reinforcement learning, and large language models (LLMs)-that power the next ...
Sr. Applied Scientist, Prime AI/ML Science
$104K - $142K/yr
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
Sr. Applied Scientist, Prime AI/ML Science
$104K - $142K/yr
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
Develop and train end-to-end robot learning models, including vision-language-action (VLA) family of models, imitation learning policies, and reinforcement learning agents for manipulation ...
Develop and train end-to-end robot learning models, including vision-language-action (VLA) family of models, imitation learning policies, and reinforcement learning agents for manipulation ...
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
Sr. Applied Scientist, Prime AI/ML Science
Seattle, WA · On-site
$104K - $142K/yr
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
Sr. Applied Scientist, Prime AI/ML Science
Seattle, WA · On-site
$104K - $142K/yr
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
AI Research Engineer
Seattle, WA · On-site
In this role, you'll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. You'll be ...
AI Research Engineer
Seattle, WA · On-site
In this role, you'll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. You'll be ...
Applied AI Engineer
Seattle, WA · On-site
$130K - $220K/yr
Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems. * Design modular frameworks for tools, memory, and evaluators to ...
Applied AI Engineer
Seattle, WA · On-site
$130K - $220K/yr
Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems. * Design modular frameworks for tools, memory, and evaluators to ...
Apply state-of-the-art LLM post-training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses ...
Apply state-of-the-art LLM post-training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses ...
Algorithm Engineer, TikTok E-Commerce (Conversational AI)
Seattle, WA · On-site
$130K - $156K/yr
Apply state-of-the-art LLM post-training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses ...
Algorithm Engineer, TikTok E-Commerce (Conversational AI)
Seattle, WA · On-site
$130K - $156K/yr
Apply state-of-the-art LLM post-training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses ...
VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or ...
VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or ...
Vision Language Models robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation ...
Vision Language Models robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation ...
Sr. Applied Scientist, Prime AI/ML Science
Seattle, WA · On-site
$104K - $142K/yr
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
Sr. Applied Scientist, Prime AI/ML Science
Seattle, WA · On-site
$104K - $142K/yr
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
We employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, using outcomes from causal Econometric modeling, and Reinforcement learning. As ...
Senior Applied Scientist, Fauna Robotics
Bellevue, WA · On-site
$103K - $141K/yr
You'll drive technical excellence in areas such as perception, manipulation, sim2real transfer, reinforcement learning and multi-task learning, designing novel algorithms that bridge the gap between ...
Senior Applied Scientist, Fauna Robotics
Bellevue, WA · On-site
$103K - $141K/yr
You'll drive technical excellence in areas such as perception, manipulation, sim2real transfer, reinforcement learning and multi-task learning, designing novel algorithms that bridge the gap between ...
Senior Applied Scientist, Amazon Robotics - Vulcan
Seattle, WA · On-site
$104K - $142K/yr
You will drive the development of learned controllers and manipulation behaviors, applying techniques like reinforcement learning and behavior cloning to robots operating in Amazon fulfillment ...
Senior Applied Scientist, Amazon Robotics - Vulcan
Seattle, WA · On-site
$104K - $142K/yr
You will drive the development of learned controllers and manipulation behaviors, applying techniques like reinforcement learning and behavior cloning to robots operating in Amazon fulfillment ...
Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics - LLM/Agent) - 2027 Start (P
Seattle, WA · On-site
$153K - $300K/yr
This role is for candidates who want to apply LLMs, agents, reinforcement learning, retrieval systems, and software engineering to real logistics problems at global scale. We are looking for talented ...
New
Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics - LLM/Agent) - 2027 Start (P
Seattle, WA · On-site
$153K - $300K/yr
This role is for candidates who want to apply LLMs, agents, reinforcement learning, retrieval systems, and software engineering to real logistics problems at global scale. We are looking for talented ...
New
You will work on agent orchestration, reinforcement learning from expert feedback, trust and permission systems, and scalable inference infrastructure that powers intelligent advertising decisions ...
New
You will work on agent orchestration, reinforcement learning from expert feedback, trust and permission systems, and scalable inference infrastructure that powers intelligent advertising decisions ...
New
Research Intern
Redmond, WA · On-site
Reinforcement Learning (RL): Specialization or research experience in RL, specifically RLHF (Reinforcement Learning from Human Feedback) or Multi-Agent Reinforcement Learning (MARL) applied to ...
New
Research Intern
Redmond, WA · On-site
Reinforcement Learning (RL): Specialization or research experience in RL, specifically RLHF (Reinforcement Learning from Human Feedback) or Multi-Agent Reinforcement Learning (MARL) applied to ...
New
Ideally you bring experience with reinforcement learning, causal inference, and/or the design of agentic AI systems. You will partner closely with business, finance, engineering, and science ...
Ideally you bring experience with reinforcement learning, causal inference, and/or the design of agentic AI systems. You will partner closely with business, finance, engineering, and science ...
Reinforcement Learning information
See Maple Valley, WA salary details
$33K - $38.4K
2% of jobs
$38.4K - $43.8K
3% of jobs
$43.8K - $49.2K
6% of jobs
$49.2K - $54.6K
3% of jobs
$59.4K is the 25th percentile. Wages below this are outliers.
$54.6K - $60.1K
12% of jobs
The median wage is $65.1K / yr.
$60.1K - $65.5K
25% of jobs
$65.5K - $70.9K
12% of jobs
$70.9K - $76.3K
9% of jobs
$77.4K is the 75th percentile. Wages above this are outliers.
$76.3K - $81.7K
12% of jobs
$81.7K - $87.1K
11% of jobs
$87.1K - $92.5K
5% of jobs
$33K
$67.5K
$92.5K
How much do reinforcement learning jobs pay per year?
As of Aug 22, 2026, the average yearly pay for reinforcement learning in Maple Valley, WA is $67,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $78,700.00 per year, depending on experience, location, and employer.
What is a reinforcement learning?
A Reinforcement Learning (RL) job involves designing, developing, and optimizing algorithms that enable machines to learn from interactions with their environment. RL professionals work on applications in robotics, finance, gaming, and autonomous systems, leveraging techniques like deep reinforcement learning and policy optimization. Responsibilities often include researching new models, implementing RL algorithms, and improving AI performance. Strong programming skills, knowledge of machine learning frameworks, and an understanding of mathematical concepts like probability and optimization are essential.
What does a reinforcement learning professional do?
A typical day for a Reinforcement Learning professional involves designing and implementing learning algorithms, running experiments, analyzing data, and iterating on models to improve performance. You might collaborate closely with data scientists, software engineers, and product managers to integrate your solutions into broader systems or products. Regular activities also include reading recent research literature and participating in team meetings to discuss progress and obstacles. This dynamic role often balances deep technical work with teamwork to drive innovative applications in areas such as robotics, recommendation systems, or autonomous systems.
What are the key skills and qualifications needed to thrive in the reinforcement learning position?
To thrive in a Reinforcement Learning role, you need a solid background in mathematics, statistics, machine learning, and programming (commonly with Python), typically supported by a relevant degree such as in computer science or engineering. Experience with frameworks like TensorFlow, PyTorch, OpenAI Gym, and familiarity with large-scale computing systems are highly valued. Strong problem-solving abilities, curiosity, and effective collaboration and communication skills help you excel in multidisciplinary research and project teams. These capabilities are crucial for designing, implementing, and refining complex algorithms that learn from interaction to solve real-world problems.
What can you do with reinforcement learning?
Reinforcement learning is used in roles such as reinforcement learning engineer or researcher to develop algorithms that enable systems to learn optimal actions through trial and error. It is applied in areas like robotics, game playing, autonomous vehicles, and recommendation systems, often requiring skills in programming, data analysis, and understanding of machine learning frameworks. Professionals in this field design, train, and evaluate models to improve decision-making processes in complex environments.
What job categories do people searching Reinforcement Learning jobs in Maple Valley, WA look for?
The top searched job categories for Reinforcement Learning jobs in Maple Valley, WA are:
What cities near Maple Valley, WA are hiring for Reinforcement Learning jobs?
Cities near Maple Valley, WA with the most Reinforcement Learning job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 24 days ago
Amazon rating
7.4
Based on 7,107 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing large-scale machine learning systems-spanning ranking, reinforcement learning, and large language models (LLMs)-that power the next generation Amazon shopping experience and deliver it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.
Key job responsibilities
As an Applied Scientist, you will work closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by generating relevant content with LLMs and assembling a whole page experience that is coherent, dynamic, and interesting. You will improve our ranking and optimization algorithms. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.
You are going to love this job because you will:
* Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning, Reinforcement Learning, and Large Language Models (LLMs), to improve hundreds of millions of customers' shopping experience.
* Have measurable business impact using A/B testing.
* Work in a dynamic team that provides continuous opportunities for learning and growth.
* Work with leaders in the field of machine learning.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 1+ years of building machine learning models or developing algorithms for business application experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- 1+ years of building production software experience
- Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- At least 2 years of experience with predictive modeling and analysis, applying various machine learning techniques including supervised/unsupervised learning, deep learning, and reinforcement learning
- Strong publication record at top ML conferences and journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
Key job responsibilities
As an Applied Scientist, you will work closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by generating relevant content with LLMs and assembling a whole page experience that is coherent, dynamic, and interesting. You will improve our ranking and optimization algorithms. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.
You are going to love this job because you will:
* Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning, Reinforcement Learning, and Large Language Models (LLMs), to improve hundreds of millions of customers' shopping experience.
* Have measurable business impact using A/B testing.
* Work in a dynamic team that provides continuous opportunities for learning and growth.
* Work with leaders in the field of machine learning.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- 1+ years of building machine learning models or developing algorithms for business application experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- 1+ years of building production software experience
- Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- At least 2 years of experience with predictive modeling and analysis, applying various machine learning techniques including supervised/unsupervised learning, deep learning, and reinforcement learning
- Strong publication record at top ML conferences and journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US