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Learning Ai Jobs in Seattle, WA (NOW HIRING)

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.

HiddenLayer

Lead Engineer, AI Attack Simulation

Seattle, WA · On-site +1

$116K - $153K/yr

Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous security testing. * Direct experience with breach and attack simulation, adversary emulation ...

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 ...

Zoom

Sr. Machine Learning Engineer - AI

Seattle, WA · On-site

$157.44 - $236.20/hr

Maintain comprehensive documentation for all AI search systems, workflows, and services using Confluence, Zoom Docs, and LucidChart; * Develop business logic for routing requests to Machine Learning ...

Blue Origin

Learning Experience Designer

Seattle, WA · On-site

The role leverages AI-enabled tools to increase content creation throughput and quality. ESSENTIAL DUTIES AND RESPONSIBILITIES Learning Content Design & Development (Primary Focus) * Design and ...

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 ...

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All JobsLearning Ai JobsLearning Ai Jobs in Seattle, WA

Learning Ai information

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$30

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How much do learning ai jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for learning ai in Seattle, WA is $46.31, according to ZipRecruiter salary data. Most workers in this role earn between $33.65 and $60.19 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 are popular job titles related to Learning Ai jobs in Seattle, WA?

For Learning Ai jobs in Seattle, WA, the most frequently searched job titles are:

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

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

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

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

Learning Ai jobs near you

AI Research Engineer

Cobot

Seattle, WA • On-site

Full-time

Re-posted 14 days ago

Job description

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. This role is ideal for researchers and builders who thrive at the intersection of machine learning research and software engineering-those who can turn innovative ideas into working prototypes that push the boundaries of what's possible in intelligent systems.
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 expected to design, implement, and iterate on ML experiments rapidly, contributing to foundational model development that will shape the future of autonomous systems and intelligent robotics.
Join us to reimagine the future of human-robot interaction.
Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.
This role is located onsite at our Seattle, WA office.
Cobot will offer a relocation stipend if you are relocating to join our Seattle office and currently live more than 50 miles outside of the office location.
Key Responsibilities:
  • Design, build, and iterate on experimental ML pipelines supporting foundational model development.
  • Implement and train large-scale models, including transformers and diffusion-based architectures, for generative and control tasks.
  • Develop and evaluate reinforcement learning algorithms and frameworks for autonomous behaviors.
  • Rapidly prototype and deploy research ideas into working code to accelerate AI experimentation cycles.
  • Collaborate with cross-functional teams to integrate ML components into real-world systems.
  • Stay at the forefront of the latest AI research and share insights internally and externally.
Minimum Qualifications:
  • Master's degree in Machine Learning, AI, Computer Science, or a related technical field.
  • Minimum 3 years of experience in applied ML research and software engineering.
  • Hands-on experience training (not just using) large-scale ML models such as transformers or diffusion models.
  • Strong understanding of reinforcement learning fundamentals and applications.
  • Proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
  • Proven ability to write clean, efficient, and scalable code that supports fast iteration.
  • Excellent collaboration and communication skills.
  • Willing to occasionally travel.
  • Must have and maintain US work authorization.
Preferred Qualifications:
  • PhD in Machine Learning, AI, Computer Science, or related field.
  • 4+ years of experience in applied ML research and software engineering.
  • Experience designing ML experimentation frameworks and model training pipelines.
  • Practical knowledge of simulation environments or robotics systems.
  • While direct robotics manipulation experience is not required, familiarity with robotic systems or simulation environments is a plus.
  • Familiarity with multimodal architectures and imitation learning.
  • Understanding of edge compute or distributed ML training infrastructure.

Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know.
To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes.

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