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Ai For Science Jobs in Seattle, WA (NOW HIRING)

Ai2

Research Scientist, Agents for Science

Seattle, WA · On-site

Ai2 is a non-profit AI research institute based in Seattle, focused on developing foundational AI ... science of deep learning, or efficient algorithms for deep learning. • The ability to own and ...

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ... The R2L Science & AI team is the centralized data science and AI function serving all R2L business ...

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All JobsAi For Science JobsAi For Science Jobs in Seattle, WA

Ai For Science information

See Seattle, WA salary details

$27.9K

$55.1K

$89.9K

How much do ai for science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for ai for science in Seattle, WA is $55,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $59,200.00 per year, depending on experience, location, and employer.

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What are the key skills and qualifications needed to thrive as an AI for Science specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What are popular job titles related to Ai For Science jobs in Seattle, WA?

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

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

The top searched job categories for Ai For Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Ai For Science jobs?

Cities near Seattle, WA with the most Ai For Science job openings:

Ai For Science jobs near you
Infographic showing various Ai For Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $55,070 per year, or $26.5 per hour.

AI Research Scientist AI for Materials Discovery

Redmond, WA • On-site

Meta Platforms
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

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Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

AI Research Scientist —Generative AI For Materials Discovery

This is a job post for an AI Research Scientist focused on generative AI for materials discovery. The job details are provided below:

Job Title: AI Research Scientist —Generative AI For Materials Discovery

Job Description: The AI Research Scientist will work on developing generative AI models to discover new materials. The role involves conducting research, developing algorithms, and collaborating with cross-functional teams to advance material science through AI technologies.

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