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Learning Ai Jobs in Renton, WA (NOW HIRING)

Aquent

AI Engineer - Machine Learning 3

Redmond, WA · On-site +1

$80 - $90/hr

Collaborate with research teams to evaluate, adapt, and operationalize emerging AI and machine learning innovations into functional prototypes and experimental systems. * Design and execute ...

Cobot

AI Research Engineer

Seattle, WA · On-site

Are you passionate about advancing the state of artificial intelligence and machine learning? Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team.

Glidance

Head of Embodied Intelligence

Seattle, WA · On-site

Required : • MS or PhD in Computer Science, Robotics, Machine Learning, AI, or related field • Strong experience in embodied AI, robotics AI, multimodal AI, perception systems, agentic systems ...

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Hive

Machine Learning Manager

Seattle, WA

$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 ...

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Learning Ai information

See Renton, WA salary details

$30

$45

$78

How much do learning ai jobs pay per hour?

As of Aug 2, 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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, machine learning executive, or senior data scientist, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

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 positions typically require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, and often involve developing algorithms, models, and applications across various industries.

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.

Can I get paid to learn AI?

Learning AI can be financially supported through internships, apprenticeships, or training programs that offer stipends or salaries. Some companies and educational platforms also provide paid opportunities for gaining skills in AI, machine learning, and data science while working on real projects. However, most formal learning paths require self-investment or sponsorship until you acquire marketable skills for paid roles.

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.

How can I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects using tools like TensorFlow or PyTorch can help build practical skills and improve employability in the field.

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

AI Engineer - Machine Learning 3

Aquent

Redmond, WA • On-site, Remote

$80 - $90/hr

Temporary

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Placement Type:
Temporary
Salary:
$80-90 Hourly
up to $90.00/hr
Start Date:
Jul 1, 2026
A leading technology innovator, this organization is at the forefront of developing groundbreaking solutions that shape the future of artificial intelligence and machine learning. They are dedicated to pushing the boundaries of what's possible, fostering a culture of rapid innovation, and translating complex research into practical, impactful technologies that empower users worldwide. Aquent is proud to partner with this visionary client to find exceptional talent.
This is an exceptional opportunity for a skilled AI/ML professional to join a dynamic research-focused team. You will be instrumental in bridging the gap between cutting-edge AI research and real-world applications, directly influencing the direction of emerging technologies. Your contributions will drive the development of novel machine learning solutions, rapidly prototype innovative ideas, and help identify technologies poised for significant investment and adoption, ultimately shaping the next generation of intelligent systems.
**Responsibilities:**
* Collaborate with research teams to evaluate, adapt, and operationalize emerging AI and machine learning innovations into functional prototypes and experimental systems.
* Design and execute quantitative and qualitative experiments to measure model performance, user engagement, research impact, and technology adoption.
* Develop evaluation frameworks, benchmarks, and success metrics for advanced AI systems, including generative models, multimodal experiences, and agent-based workflows.
* Fine-tune, validate, and benchmark machine learning models using real-world datasets and advanced research techniques.
* Build rapid prototypes and proofs-of-concept to help stakeholders assess the practical value of new technologies.
* Stay current with advances in machine learning, generative AI, agentic systems, multimodal models, and evaluation methodologies, identifying opportunities to apply new capabilities.
* Fine-tune and improve sophisticated software implementations.
* Gather and analyze system requirements, document specifications, and develop software solutions to meet client needs.
* Analyze and review enhancement requests and specifications.
* Implement system software and customize to client requirements.
* Prepare detailed software specifications and test plans.
* Code new programs to client specifications and create test data for testing.
* Modify existing programs to new standards and conduct unit testing.
* Create migration packages for system testing, user testing, and implementation.
* Provide quality assurance reviews.
* Perform post-implementation validation of software and resolve any bugs found during testing.
**Must-Have Qualifications:**
* Bachelor's degree in a technical field such as computer science, computer engineering, or a related discipline.
* 5-7 years of relevant experience in machine learning, AI development, coding, and prototyping.
* Strong technical foundations in software engineering, machine learning, statistics, and experimental design.
* Experience building data-intensive applications, machine learning systems, experimentation platforms, or AI-powered products.
* Experience evaluating, debugging, and improving machine learning models, data pipelines, and AI-powered applications.
* Proficiency in programming with experience in problem diagnosis and resolution.
* Ability to thrive in ambiguous, rapidly changing environments where requirements evolve through experimentation and discovery.
* Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies.
* Availability for at least a 12-month assignment.
**Nice-to-Have Qualifications:**
* Demonstrated strong flexibility and adaptability.
* Ability to rapidly ramp up on new projects (within 1-3 days) and deliver results quickly (within approximately 5 days).
* Hands-on experience with AI-assisted coding and rapid prototyping.
* Availability for an 18-month assignment is preferred.
**About Aquent Talent:**
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
Client Description
Join a global technology leader driving innovation and empowering people and organizations worldwide to achieve more. Here, you'll collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture prioritizes growth, inclusion, and purpose-where your ideas are valued, and your work drives real change. Wherever your passion lies and wherever your career is headed-you'll play a role in projects that touch billions of lives. With flexible work options and a supportive environment, you'll have the tools to thrive both personally and professionally. Be part of something that truly matters.
Why work with AQUENT? Check out our awesome benefits: https://aquent.com/talent/talent-benefits
Aquent is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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