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Generative Ai Engineer Intern Jobs in Spokane, WA

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

The AI Solutions Engineer is a Full Time, Regular position working Monday-Friday day shift hours ... Develops and refines generative AI models (e.g., large language models, diffusion models) and ...

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

The AI Solutions Engineer will be responsible for the design, building development and deployment ... Develops and refines generative AI models (e.g., large language models, diffusion models) and ...

Sr Software Engineer

Spokane, WA · On-site

$123K - $163K/yr

Description Senior Software Engineer Why YOU want this position At Enverus, we're committed to ... from generative AI, and our innovative solutions are reshaping the way energy is consumed and ...

Sr Software Engineer

Spokane, WA · On-site

$123K - $163K/yr

Description Senior Software Engineer Why YOU want this position At Enverus, we're committed to ... from generative AI, and our innovative solutions are reshaping the way energy is consumed and ...

Sr Software Engineer

Liberty Lake, WA · On-site

$123K - $162K/yr

Job Summary : Positron AI specializes in developing custom hardware systems to accelerate AI ... ground up for generative and large language models (LLMs). Founded in 2023, the company is ...

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

Generative Ai Engineer Intern information

See Spokane, WA salary details

$11

$19

$29

How much do generative ai engineer intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for generative ai engineer intern in Spokane, WA is $19.53, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $21.15 per hour, depending on experience, location, and employer.

What does a generative AI engineer intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

What skills and qualifications are needed to thrive as a generative AI engineer intern?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a generative AI engineer intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

What is the difference between Generative Ai Engineer Intern vs Machine Learning Engineer Intern?

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

What job categories do people searching Generative Ai Engineer Intern jobs in Spokane, WA look for?

The top searched job categories for Generative Ai Engineer Intern jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Generative Ai Engineer Intern jobs?

Cities near Spokane, WA with the most Generative Ai Engineer Intern job openings:

Infographic showing various Generative Ai Engineer Intern job openings in Spokane, WA as of August 2026, with employment types broken down into 11% Internship, 74% Full Time, and 15% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,621 per year, or $19.5 per hour.