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Learning Ai Jobs in Renton, WA (NOW HIRING)

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Cisco

Sales Enablement Leader - Remote US

Seattle, WA · On-site +1

We use generative AI, adaptive learning platforms, intelligent simulations, and AI-driven analytics to pinpoint performance gaps, design high-impact learning, and prove business results. AI is our ...

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 ...

Microsoft

Research Intern - AI Hardware

Redmond, WA · On-site

$6.7K - $13K/mo

Knowledge of Machine Learning/AI/Large Language Model concepts. * Relevant publications such as ISCA, MICRO, ASPLOS, HPCA, CVPR, ACL, ICML, NeurIPS, etc. Applied Sciences IC2 - The base pay range for ...

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All JobsLearning Ai JobsLearning Ai Jobs in Renton, WA

Learning Ai information

See Renton, WA salary details

$30

$45

$78

How much do learning ai jobs pay per hour?

As of Jun 20, 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 jobs can I get if I learn AI?

Learning AI can qualify you for roles such as AI engineer, machine learning engineer, data scientist, or AI researcher. These jobs typically require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, often involving working with large datasets and developing algorithms. Certifications and a strong understanding of mathematics can enhance job prospects in this field.

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 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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in AI and data science, and may include bonuses or stock options that contribute to total compensation reaching this level.

How can I start a career in AI?

To start a career in AI, develop a strong foundation in programming languages like Python, learn machine learning algorithms, and gain experience with data analysis and neural networks. Pursuing relevant degrees or certifications in computer science or data science can also enhance your qualifications. Building a portfolio of projects and staying updated with industry tools like TensorFlow or PyTorch are important steps.

What job makes $10,000 a month without a degree?

In the field of AI and technology, roles such as AI specialist, data scientist, or machine learning engineer can potentially earn $10,000 or more per month with relevant skills and experience, often gained through self-education, online courses, or certifications rather than a formal degree. Success in these roles depends on expertise in programming, data analysis, and AI tools like Python, TensorFlow, or cloud platforms, along with a strong portfolio and industry experience.

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

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.
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
Infographic showing various Learning Ai job openings in Renton, WA as of June 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $95,215 per year, or $45.8 per hour.
2026 AI/ML Intern - Machine Learning Engineer

2026 AI/ML Intern - Machine Learning Engineer

Adobe

Seattle, WA • On-site, Remote

$45 - $55/hr

Full-time

Posted 8 days ago

Job description

The Opportunity

Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.

By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.

What You'll Do

  • Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.

  • Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems

  • Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed

  • Currently enrolled full time and pursuing a Bachelor's, Master's or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 - June 2027

  • Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.

  • Proficient in one or more programming languages such as Python, Java and C

  • Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn

  • Strong analytical and quantitative problem-solving ability.

  • Excellent communication, relationship skills and a team player

  • Ability to participate in a full-time internship between May-September

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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