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Entry Level Ai Computer Science Jobs in Seattle, WA

NextGenEnergyJobs

Applied Researcher

Seattle, WA · On-site

$140 - $200/hr

Requirements * PhD Graduate in AI, Computer Science, or Robotics (Top-tier research lab background) * Deep expertise in Vision-Language Models (VLM) and Vision-Language-Action (VLA) models

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

Bachelor's degree in Computer Science, Software Engineering, or a related technical field. * Minimum of 2 years of professional experience as an AI / ML Engineer in production environments. * Solid ...

Adobe, Inc.

Research Scientist/Engineer

Seattle, WA · On-site

D. and solid publications in machine learning, AI, computer science, statistics, or scene semantic understanding. * Experience communicating research for public audiences of peers. * Experience ...

Adobe

Research Scientist/Engineer

Seattle, WA

D. and solid publications in machine learning, AI, computer science, statistics, or scene semantic understanding. * Experience communicating research for public audiences of peers. * Experience ...

SpangleAI

AI/ML Scientist

Bellevue, WA · On-site

D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence • 2-5 years of ...

BOSTON TRUST WALDEN COMPANY

AI Scientist I

Seattle, WA · On-site

$129.75 - $207.60/hr

... AI team, focusing on AI applications in Cloud, Devices and Robotics. As a key member of our ... Senior Manager, Research Science * Research and develop advanced MLLMs, GenAI, and Computer Vision ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... computer vision, egocentric perception, and/or LLMs * Experience in relevant robotics related ...

Amazon

Data Scientist, Prime Video Science

Seattle, WA · On-site

... AI systems experience PREFERRED QUALIFICATIONS - Ph.D. in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science ...

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All JobsAi Computer Science JobsEntry Level Ai Computer Science JobsEntry Level Ai Computer Science Jobs in Seattle, WA

Entry Level Ai Computer Science information

See Seattle, WA salary details

$33.6K

$114.1K

$274.8K

How much do entry level ai computer science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for entry level ai computer science in Seattle, WA is $114,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $120,600.00 per year, depending on experience, location, and employer.

What is an entry level AI computer science job?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What do entry level AI computer science professionals do?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.

What are the key skills and qualifications needed to thrive as an entry level AI computer scientist?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Ai Computer Science jobs in Seattle, WA?

The most popular types of Ai Computer Science jobs in Seattle, WA are:

What are popular job titles related to Entry Level Ai Computer Science jobs in Seattle, WA?

For Entry Level Ai Computer Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Computer Science jobs in Seattle, WA look for?

The top searched job categories for Entry Level Ai Computer Science jobs in Seattle, WA are:

Entry Level Ai Computer Science jobs near you
Infographic showing various Entry Level Ai Computer Science job openings in Seattle, WA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,105 per year, or $54.9 per hour.

AI/Robotics Product Manager

Hyphen Connect Limited

Seattle, WA • On-site

Full-time

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

Job description

We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.

Responsibilities:

  • Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
  • Define safety, usability, and performance metrics for the engineering teams.
  • Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
  • Lead cross-functional teams to ensure successful product delivery.
  • Develop and maintain a product roadmap that aligns with strategic business goals.

Required Skills:

  • Technical background in AI, computer science, or engineering.
  • Proven experience shipping complex hardware or deep-tech software products.
  • Exceptional ability to communicate complex concepts to both engineers and stakeholders.
  • Strong analytical skills and a data-driven decision-making approach.

Apply