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Entry Level Ai Computer Science Jobs in Seattle, WA

Opendoor

Applied Scientist AI/ML

Seattle, WA · On-site

$156K - $355K/yr

Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative ... AI models (LLMs, VLMs, etc.) * Collaborate with Engineering and Ops to enhance our human-in-the ...

Adobe

Research Scientist

Seattle, WA

$120K - $238K/yr

D. in Computer Science, AI/ML or related fields Excellent publication record in Computer Science, AI/ML or related fields Excellent communication skills and a strong team player What You'll Bring ...

Adobe

Research Scientist

Seattle, WA · On-site

$142K - $270K/yr

D. in Computer Science, AI/ML or related fields * Excellent publication record in Computer Science, AI/ML or related fields * Excellent communication skills and a great teammate * Experience in ...

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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.

Applied Scientist AI/ML

Opendoor

Seattle, WA • On-site

$156K - $355K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the Role
We're looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.
What You'll Need
  • Strong software engineering and coding skills in Python, with experience contributing to production codebases
  • Experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems
  • Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
  • Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
  • Solid foundation in statistics and experimental design
  • Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly

Nice to Have
  • Familiarity with Pyspark and distributed data processing
  • Background in search, recommendation systems, or personalization
  • Experience working with large language models (LLMs) or vision-language models (VLMs)
  • A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data

What You'll Do
  • Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
  • Build interpretable ML models that can help us explain pricing decisions to customers
  • Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
  • Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
  • Improve the feature engineering and model training pipelines that power our production systems
  • Rethink our risk and optimization models using real-world data and domain insight
  • We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack.

Compensation
The base pay range for this position is $156,800-$355,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
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