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Entry Level Computer Science Artificial Intelligence Jobs in Seattle, WA

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied ... learning, computer vision, statistics, causal inference, and other related disciplines

Docugami

Data Science PhD Intern

Kirkland, WA

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied ... learning, computer vision, statistics, causal inference, and other related disciplines

Docugami

Software Engineering Intern

Kirkland, WA · On-site

... artificial intelligence. Applying AI to natural language processing (NLP) is today's next frontier ... Studying Computer Science or Computer Engineering * Strong problem-solving and time management ...

Docugami

Software Engineering Intern

Kirkland, WA

... artificial intelligence. Applying AI to natural language processing (NLP) is today's next frontier ... Studying Computer Science or Computer Engineering * Strong problem-solving and time management ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

... embodied artificial intelligence * Invent/improve novel data-driven paradigms for robotics ... computer vision, egocentric perception, and/or LLMs * Experience in relevant robotics related ...

Pwc

ERP AI Engineer - Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

... Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Data Processing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Computer Science Artificial Intelligence information

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$15

$19

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How much do entry level computer science artificial intelligence jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for entry level computer science artificial intelligence in Seattle, WA is $19.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $19.71 per hour, depending on experience, location, and employer.

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

Entry-level roles in artificial intelligence, such as AI developer or machine learning engineer, typically require advanced skills and experience, and rarely pay $10,000 a month without a degree or specialized training. Most high-paying AI positions demand strong programming skills, knowledge of algorithms, and often certifications or self-taught expertise. Achieving such income levels usually involves experience, a strong portfolio, or working in high-demand environments, rather than entry-level positions alone.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What are Entry Level Computer Science Artificial Intelligence jobs?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry-level AI professional in computer science?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What is the most entry-level AI job?

An entry-level AI job often refers to roles such as AI intern, research assistant, or junior machine learning engineer. These positions typically require foundational knowledge of programming languages like Python, basic understanding of machine learning frameworks, and sometimes a relevant internship or project experience.

Is AI taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek skills in machine learning, data analysis, and programming languages like Python. However, these roles typically require foundational knowledge, and competition remains high, making relevant internships and certifications valuable for new graduates.

Can I get an AI job with no experience?

Entry-level AI jobs often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is beneficial, candidates can improve their chances by completing online courses, building projects, and gaining certifications to demonstrate their skills to employers.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Artificial Intelligence professional, and why are they important?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Seattle, WA? For Entry Level Computer Science Artificial Intelligence jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Seattle, WA look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Seattle, WA are:
Entry Level Computer Science Artificial Intelligence jobs near you
AI Research Scientist, CoreML - Monetization AI

AI Research Scientist, CoreML - Monetization AI

Meta

Bellevue, WA

$154K/yr

Full-time

Posted 24 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta’s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we’re seeking AI Research Scientists to join our team and drive SOTA research across the Monetization organization.
AI Research Scientist, CoreML - Monetization AI Responsibilities:
  • Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
  • Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
  • Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding
  • Design and implement generative modeling solutions for data augmentation
  • Research and develop graph-aware large language models
  • Develop and deploy AutoML pipelines
  • Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason
  • Use causal learning to identify and understand the cause and effect of relationships across data
  • Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
  • Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field
  • Experience holding an industry, faculty, or government researcher position
  • Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas
  • Publications in machine learning, artificial intelligence, or related field
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience taking ideas from research to production.
  • First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is 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 us know at accommodations-ext@meta.com.
$154,000/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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