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Learning Ai Jobs in Renton, WA (NOW HIRING)

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in ...

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How much do learning ai jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for learning ai in Renton, WA is $45.78, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $59.47 per hour, depending on experience, location, and employer.

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build skills and demonstrate expertise to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What job categories do people searching Learning Ai jobs in Renton, WA look for?

The top searched job categories for Learning Ai jobs in Renton, WA are:

What cities near Renton, WA are hiring for Learning Ai jobs?

Cities near Renton, WA with the most Learning Ai job openings:

Learning Ai jobs near you

Applied Scientist, Prime Video Science

Amazon

Seattle, WA

Full-time

Posted 17 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,107 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Prime Video Science team leverages the latest in machine learning and AI techniques combined with causal inference to bring scientific rigor to the biggest decisions in entertainment: what content to make, what to license, and where to invest. We build large-scale models that simulate how our global customer base responds to change, and we get to see that work shape what the business does. Prime Video is an industry-leading entertainment business and a critical driver of Amazon Prime subscriptions, contributing to customer loyalty and lifetime value.

Our models learn from customer behavior to answer questions the business can't test directly and use those answers to guide where Prime Video invests in content and product. We're looking for an Applied Scientist to help build the next generation of these models.
As an Applied Scientist on this team, you will build machine learning and deep learning models on large-scale global data to simulate customer behavior across the business.

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 stakeholders to take ideas from concept and prototype through to production. The candidate should have strong communication skills and the ability to translate data-driven findings into actionable insights.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and the ability to work in a fast-paced and ever-changing environment.
Key job responsibilities
Build models that simulate customer behavior to answer counterfactual "what-if" questions that guide major content and product investment decisions.
Apply deep learning, reinforcement learning, causal inference, and experimental design to large-scale customer data to model how customers respond to change.
Design and prototype agentic AI systems and other novel ML approaches and research new methods to improve the accuracy and scale of our models.
Validate and calibrate models against real-world randomized experiments, and partner with software engineers to deliver scalable, production-ready systems.
Translate model outputs into clear recommendations and communicate results to business, finance, and science stakeholders through both technical papers and business-facing documents.
About the team
The Prime Video Science team is a multidisciplinary group of applied scientists, data scientists, economists, and engineers. We take on some of the hardest research questions in the business, and our work carries visibility up to the CFO/CEO level. We pursue ambitious research at the intersection of machine learning, AI, and causal inference, turning that research into innovations that improve customer experience and strengthen business profitability

Few science teams get to work on problems this hard and this impactful; if that combination excites you, we'd love to talk.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

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

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