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Remote Computer Science Research Jobs in Seattle, WA

Principal Applied Scientist

Seattle, WA · Remote

$250K - $350K/yr

... 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 ...

The MSL willidentifyclinical trial sites and opportunities for research, work closely with clinical ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

Mentor other engineers / research scientists & improve the quality of engineering work in the broader team Minimum Qualifications: * Bachelor's degree in Computer Science, Computer Engineering ...

Computer Science or Computer Engineering background * Strong problem-solving and time management ... Remote work environment that operates on PST hours About Us: Docugami is a Seattle-area document ...

We're always looking to connect with exceptional remote talent across the U.S. If you don't see a ... data scientists, research analysts) * Corporate Functions (HR, Finance, Legal, Marketing ...

Research complex subjects and provide expert guidance. * May take lead role of software components ... SUMMARY OF REQUIREMENTS * BS in Computer Science, Mathematics, Statistics, or related field; MS ...

Contribute to the broader research community by publishing findings on systems ML advances at leading venues Minimum Qualifications: * Bachelor's degree in Computer Science, Computer Engineering ...

Staff Data Scientist, Ads Delivery

Seattle, WA · On-site +1

$164K - $339K/yr

Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience ... REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS GovCloud Databricks * Bachelor's degree in computer science, Engineering, Applied Mathematics or related ...

... Research. * Strong Python and PyTorch skills. * Experience with NLP or multimodal models (computer ... Remote is considered for exceptional candidates. If solving unique technical challenges in an ego ...

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Remote Computer Science Research information

What is the difference between Remote Computer Science Research vs Remote Software Developer?

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Researcher, and why are they important?

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

Is computer science dead due to AI?

Remote computer science research remains a vital field as AI advances, requiring expertise in algorithms, data analysis, and programming. AI tools can enhance research productivity but do not replace the need for foundational computer science skills and critical thinking. Continuous learning and adaptation are essential for computer scientists in this evolving landscape.

How to make $1000 a week remotely?

A remote computer science researcher can earn $1000 a week by taking on freelance projects, consulting, or contract work that leverages specialized skills such as programming, data analysis, or machine learning. Building a strong portfolio, networking, and using platforms like Upwork or Freelancer can help secure consistent high-paying assignments. Additionally, developing expertise in in-demand tools and obtaining relevant certifications can increase earning potential.

How can I make $100,000 a year working from home?

A remote computer science researcher can earn $100,000 annually by gaining specialized skills in high-demand areas such as machine learning, data analysis, or cybersecurity, and building a strong portfolio or reputation. Advanced degrees, certifications, and experience with programming languages like Python or R can also increase earning potential, often through consulting, freelance projects, or research positions with competitive salaries.

Can I work remotely with a computer science degree?

Remote computer science research positions are common and often require a degree in computer science or related fields. These roles typically involve skills in programming, data analysis, and research tools, and may require familiarity with collaboration platforms and remote work best practices.

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.
What are the most commonly searched types of Computer Science Research jobs in Seattle, WA? The most popular types of Computer Science Research jobs in Seattle, WA are:
Principal Applied Scientist

Principal Applied Scientist

Designworks Talent

Seattle, WA • Remote

$250K - $350K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 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 Principal Applied Scientist to join their Seattle-based AI team. In this role, your work will drive the research, development, and refinement of generative AI, agentic AI, and deep learning models and algorithms to address complex challenges in fraud detection, risk management, and identity verification.
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:

  • 7+ 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.

  • Demonstrated ability to drive projects forward independently with minimal guidance. Ownership of ambiguous problem framing through research, prototyping, productionization, and post-launch iteration.

  • 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: $250K - $350K