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Full Time Ap Computer Science Jobs in Seattle, WA

Designworks Talent

Senior Applied Scientist

Seattle, WA · Remote

$200K - $250K/yr

Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty ... D. in Computer Science, Artificial Intelligence, or a related field with a focus on: generative AI ...

Designworks Talent

Senior Applied Scientist

Seattle, WA · On-site

$200K - $250K/yr

Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty ... D. in Computer Science, Artificial Intelligence, or a related field with a focus on: generative AI ...

Designworks Talent

Staff Applied Scientist

Seattle, WA · Remote

$220K - $275K/yr

Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty ... D. in Computer Science, Artificial Intelligence, or a related field with a focus on: generative AI ...

Designworks Talent

Staff Applied Scientist

Seattle, WA · On-site

$220K - $275K/yr

Seattle, WA (On-site downtown) - Hybrid Type: Full-Time Industry: Software (AI) Specialty ... D. in Computer Science, Artificial Intelligence, or a related field with a focus on: generative AI ...

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All JobsFull Time Ap Computer Science JobsFull Time Ap Computer Science Jobs in Seattle, WA

Full Time Ap Computer Science information

See Seattle, WA salary details

$41.5K

$74.5K

$138.3K

How much do full time ap computer science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for full time ap computer science in Seattle, WA is $74,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $79,100.00 per year, depending on experience, location, and employer.

Can I make 200K with a computer science degree?

Full Time AP Computer Science roles typically have salaries below $200,000, but experienced software engineers, especially in high-demand areas or with specialized skills like machine learning or cloud computing, can reach or exceed that level. Achieving a $200,000 salary often requires advanced experience, seniority, or working in high-paying industries or locations.

What are some common challenges faced by full-time AP Computer Science teachers, and how can they be addressed?

Full-time AP Computer Science teachers often encounter challenges such as keeping students engaged with complex topics, staying updated with evolving curriculum standards, and managing diverse skill levels in the classroom. To address these, teachers can incorporate hands-on projects, leverage real-world examples, and participate in professional development workshops. Collaborating with fellow educators and utilizing resources from organizations like the College Board can also help in delivering effective and up-to-date instruction.

Are CS grads struggling to find jobs?

Full-time computer science graduates often find strong job prospects due to high demand for software developers, data analysts, and cybersecurity specialists. Success depends on skills, internships, certifications, and familiarity with programming languages like Python, Java, or C++, as well as experience with tools such as Git and cloud platforms.

What is the difference between Full Time Ap Computer Science vs Part Time Ap Computer Science?

AspectFull Time Ap Computer SciencePart Time Ap Computer Science
CredentialsHigh school AP Computer Science certification, college creditSame as full-time, often with flexible scheduling
Work EnvironmentFull classroom or lab setting, regular hoursPart-time classes, flexible hours, possibly online
Employer & Industry UsageHigh schools, colleges, educational programsSame as full-time, often for supplementary instruction
Search & Comparison IntentUnderstanding full-time teaching roles in AP Computer ScienceLooking for part-time or flexible teaching options

Full Time AP Computer Science roles involve teaching or preparing students in a full-time setting, often with a structured schedule and classroom environment. Part Time AP Computer Science positions offer more flexible hours, suitable for educators or tutors seeking part-time work. Both roles require similar credentials but differ mainly in scheduling and work environment.

Is computer science dead due to AI?

Computer science remains a vital field for full-time AP computer science roles, as AI advances create new opportunities for software development, data analysis, and algorithm design. Professionals with programming skills, understanding of AI tools, and problem-solving abilities continue to be in demand across industries. AI complements rather than replaces core computer science skills, making the field still relevant for job seekers.

What are the key skills and qualifications needed to thrive as a Full-Time AP Computer Science Teacher, and why are they important?

To excel as a Full-Time AP Computer Science Teacher, you need a solid background in computer science principles, programming languages (such as Java), and typically a teaching credential or relevant degree. Familiarity with AP curriculum frameworks, learning management systems, and grading platforms is essential. Strong communication, classroom management, and the ability to inspire and engage students are vital soft skills for this role. These skills ensure effective teaching, student success on AP exams, and a supportive learning environment.

Is AP Computer Science useful?

AP Computer Science provides foundational programming skills and understanding of algorithms, which are valuable for many technology-related jobs, including full-time computer science roles. It can also help students earn college credit and strengthen their resumes for entry-level positions in software development, data analysis, and IT. However, practical experience and additional skills are often necessary for advanced roles.

What is a Full Time AP Computer Science teacher?

A Full Time AP Computer Science teacher is an educator who teaches Advanced Placement (AP) Computer Science courses, such as AP Computer Science A or AP Computer Science Principles, to high school students on a full-time basis. These teachers are responsible for delivering curriculum aligned with the College Board's AP standards, preparing students for the AP exams, and supporting students' understanding of programming concepts and computer science theory. They often engage in lesson planning, classroom instruction, grading, and providing additional support to help students succeed in a college-level course environment.
Full Time Ap Computer Science jobs near you
Infographic showing various Full Time Ap Computer Science job openings in Seattle, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $74,507 per year, or $35.8 per hour.
Senior Applied Scientist

Senior Applied Scientist

Designworks Talent

Seattle, WA • Remote

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Location: Seattle, WA (On-site downtown) - Hybrid
Type: Full-Time
Industry: Software (AI)
Specialty: Identity verification, fraud prevention, background screening, and risk intelligence.

Overview

Our publicly traded client develops proprietary technology and analytics to deliver identity intelligence, powering critical solutions that help organizations operate confidently. Their solutions enable real-time identification and location of people, businesses, assets, and their relationships for risk mitigation, due diligence, fraud prevention, regulatory compliance, and customer acquisition. These solutions support frictionless commerce, enhance safety, reduce fraud, and lower related societal costs.

Key Responsibilities

Our client is looking for a collaborative and forward-thinking Senior Applied Scientist to join their Seattle-based AI team. In this role, your work will focus on developing and deploying generative AI, agentic AI, and deep learning-based solutions.
You’ll partner with a diverse team of scientists, engineers, and product leaders to build scalable solutions that solve meaningful real-world challenges. This is an opportunity for someone who enjoys balancing research, experimentation, and hands-on product impact in a fast-moving environment where curiosity, creativity, and continuous learning are valued.

Qualifications

Education

Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on: generative AI, agentic AI, deep learning, reinforcement learning, and/or graph neural networks.

-or-

Equivalent industry experience

Experience:

  • 3-6 years with Applied research in AI.

  • Large language models (LLMs), agentic systems, reinforcement learning, and/or graph neural networks.

  • Successfully shipping AI-powered products (not just publishing or prototyping).


Strengths:

  • Hands-on experience designing and deploying agentic AI systems, including tool usage, function calling, planning, multi-agent orchestration, retrieval-augmented generation, and evaluating agent behavior in production environments.

  • Pre-training and/or fine-tuning foundational large language models.

  • Proficiency in programming languages such as Python or C++, along with expertise in AI frameworks (e.g., PyTorch, TensorFlow, JAX).

  • Deep understanding of transformer architectures, deep learning, and generative AI, with experience in natural language processing (NLP) for generative and agentic AI applications.

  • Experience building and deploying scalable AI/ML solutions in real-world applications, including those at national or global scales.

  • Bonus

    • Familiarity with supervised fine-tuning, RLHF/DPO, LoRA/PEFT, distillation, and large-scale distributed training.

    • AWS certifications related to generative AI.

    • Published research findings at top-tier conferences and journals.

Why You’ll Love This Role

  • Big Data | Research | Innovation | Problem Solving | Experimentation | Productization

  • You thrive in communicative, collaborative, cross-functional environments.

  • Comfortable working at the intersection of research and engineering, able to read papers on Friday and ship a prototype by Monday. Enjoys transforming ambiguous research ideas into reliable production systems.

  • Benefits: stock (RSU) grants, a 401K and generous company match, flexible PTO policy, medical, dental and vision coverage, commuter benefits, in-office healthy snacks, team events

  • Our client is a proud to be an Equal Opportunity Employer.

Compensation Range: $200K - $250K