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Reinforcement Learning Jobs (NOW HIRING)

Applied Reinforcement Learning Engineer Location: Palo Alto, CA or Seattle, WA (Hybrid/Remote) About the Team Centific AI Research advances foundational AI models and applications through ...

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Reinforcement Learning information

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$28.5K

$58.3K

$80K

How much do reinforcement learning jobs pay per year?

As of Jul 7, 2026, the average yearly pay for reinforcement learning in the United States is $58,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $68,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

In reinforcement learning, machine learning engineers (MLEs) design, implement, and optimize algorithms that enable AI systems to learn from interactions. While AI continues to advance, MLEs play a crucial role in developing and fine-tuning models, and their skills remain essential for deploying effective reinforcement learning solutions. The role is evolving with increased automation, but MLEs are unlikely to be fully replaced in the near term.

What are the common responsibilities of a Reinforcement Learning professional on a daily basis?

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, and why are they important?

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 engineers make $500,000?

Senior reinforcement learning engineers with extensive experience, advanced skills in machine learning frameworks, and a strong track record in deploying AI systems can earn salaries around $500,000 or higher, especially in top tech companies or specialized research roles. Compensation often includes base salary, bonuses, and stock options, reflecting expertise in AI, deep learning, and programming languages like Python or C++.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior reinforcement learning engineer or research scientist, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leading projects, developing innovative algorithms, and may require extensive experience and specialized certifications. Compensation at this level reflects the expertise and impact expected in cutting-edge AI development environments.

What is a Reinforcement Learning job?

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.

Which 3 jobs will survive AI?

Reinforcement Learning specialists, data scientists, and AI ethics professionals are likely to remain in demand as AI advances, due to their specialized skills in developing, managing, and overseeing AI systems. These roles require advanced knowledge of algorithms, programming, and ethical considerations, making them less susceptible to automation. Continuous learning and expertise in AI tools and frameworks are essential for long-term job security in these fields.
More about Reinforcement Learning jobs
What cities are hiring for Reinforcement Learning jobs? Cities with the most Reinforcement Learning job openings:
What are the most commonly searched types of Reinforcement Learning jobs? The most popular types of Reinforcement Learning jobs are:
What states have the most Reinforcement Learning jobs? States with the most job openings for Reinforcement Learning jobs include:
Infographic showing various Reinforcement Learning job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 56% Full Time, 35% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,347 per year, or $28.1 per hour.
Senior PMT ES - Reinforcement Learning, SageMaker AI

Senior PMT ES - Reinforcement Learning, SageMaker AI

Amazon

Bellevue, WA • On-site

$142K - $188K/yr

Full-time

Posted 2 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,930 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We're seeking a Senior Product Manager, Technical to define and own the product strategy for reinforcement learning (RL) on Amazon SageMaker AI. You'll shape how customers leverage reinforcement learning to align, customize, and improve foundation models and AI systems.
Reinforcement learning is at the heart of how the most capable AI systems are built today. From aligning foundation models to optimizing complex multi-step reasoning and decision-making systems, RL has moved from a research curiosity to a production-critical capability

Yet for most customers, RL remains difficult to adopt-requiring deep expertise, complex infrastructure, and significant experimentation. We need a product leader who can make reinforcement learning dramatically more accessible, helping a broad range of customers use RL to build better models and get to production faster.
Amazon SageMaker AI is the industry-leading service for machine learning, used by tens of thousands of customers-from startups to the world's largest enterprises-to build and deploy ML and GenAI applications at scale. If you want to build the products that define how the world develops and aligns AI, this is the role for you.
Key job responsibilities
* Define and execute product strategy and roadmap for reinforcement learning on SageMaker AI, working backwards from customer needs in model alignment, optimization, and decision-making
* Partner with applied science and engineering teams to define technical requirements for training infrastructure, algorithms, and tooling
* Own business metrics including adoption, usage, and revenue growth
* Engage directly with customers-from ML researchers at startups to enterprise AI teams-to understand their workflows and pain points
* Create product narratives, product specifications, and business cases for new initiatives
* Analyze the competitive landscape and stay current on research to anticipate where the field is heading
* Represent SageMaker capabilities in customer briefings, conferences, and industry events


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US