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Research Python Jobs in Seattle, WA (NOW HIRING)

Ai2

Research Engineer, Asta

Seattle, WA · On-site

... Python and PyTorch/Jax/Tensorflow, agentic frameworks (e.g., MCP), as well as feel at ease in ... We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen.

Russell Investments

Research Analyst

Seattle, WA · On-site

$85K - $100K/yr

The Macro and Credit research team is responsible for rating and recommending investment strategies ... Python, SQL. * Excellent problem-solving capabilities and attention to detail. * CFA or CAIA ...

Russell Investments

Research Analyst

Seattle, WA

$85K - $100K/yr

The Macro and Credit research team is responsible for rating and recommending investment strategies ... Python, SQL. * Excellent problem-solving capabilities and attention to detail. * CFA or CAIA ...

Adobe

Research Engineer

Seattle, WA · On-site

They are seeking a Research Engineer to develop high-performance ML models, focusing on optimizing ... Python and ML libraries like PyTorch, TensorFlow, JAX, or similar • Strong communication and ...

Uw

Research Coordinator

Seattle, WA · On-site

$82K/yr

Familiarity with R and/or Python for basic data science tasks: summarize datasets, generate ... UAW Research About the UW Working at the University of Washington provides a unique opportunity to ...

Amazon

Research Scientist III - AMZ10061595

Seattle, WA · On-site

$164K - $215K/yr

Research Scientist III Job Location: Seattle, Washington Job Number: AMZ10061595 Position ... Python or related language. Amazon.com is an Equal Opportunity-Affirmative Action Employer ...

Cobot

AI Research Engineer

Seattle, WA · On-site

This role is ideal for researchers and builders who thrive at the intersection of machine learning ... Proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow. * Proven ability to ...

Syndio

Research Scientist

Seattle, WA · Remote

Working fluency with data tools such as SQL, Python, or R. Why you'll love it here: * 💰 ... Research Scientist position. Please note that this is what we expect the process to look like; we ...

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All JobsResearch Python JobsResearch Python Jobs in Seattle, WA

Research Python information

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$15

$66

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How much do research python jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for research python in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong support for data analysis, machine learning, and scientific computing. It is widely adopted in academia and industry for research projects, often complemented by tools like Jupyter notebooks and frameworks such as NumPy and pandas.

What Python jobs are in demand?

Python development roles such as data scientist, machine learning engineer, backend developer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis libraries, and proficiency in cloud platforms. Demand is driven by industries including technology, finance, healthcare, and e-commerce, with many roles requiring strong problem-solving skills and experience with version control tools like Git.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications and tools, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency and handling repetitive tasks, but human oversight remains essential for quality and innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

Is Python still in demand in 2026?

Python remains a highly in-demand skill for research roles, including those involving data analysis, machine learning, and automation. Its versatility, extensive libraries, and widespread use in industry and academia ensure continued demand for professionals proficient in Python in 2026.
What are popular job titles related to Research Python jobs in Seattle, WA? For Research Python jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Seattle, WA look for? The top searched job categories for Research Python jobs in Seattle, WA are:
Research Python jobs near you
Infographic showing various Research Python job openings in Seattle, WA as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.
Research Engineer, Asta

Research Engineer, Asta

Ai2

Seattle, WA • On-site

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Ai2 is a Seattle-based non-profit AI research institute focused on building breakthrough AI to solve the world’s biggest problems. They are seeking a Research Engineer to advance AI research and develop solutions for scientific discovery in various domains, including human-AI interaction and data-driven discovery.
Responsibilities:
• Building infrastructure to facilitate the next generation of LLM and agentic research.
• Creating AI tools to facilitate scientific discovery in domains such as biology, cancer research, neuroscience, social science, etc.
• Designing, building, and training machine learning or language models for agentic workflows.
• Bridging the gap between cutting-edge research and a widely adopted product.
• Bringing software engineering best practices to a research environment.
• Supporting and collaborating with an open-source community.
• Releasing your contributions back to the broader community in the form of open source software, model releases, and additions to Ai2’s public API and open research datasets, as well as technical reports.
Qualifications:
Required:
• A bachelor’s degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure.
• 2+ years of experience building agentic infrastructure that handles tools, skills, and other artifacts.
• 2+ years of experience building infrastructure that handles data preprocessing/transformation and machine learning model training, evaluation, inference, and deployment.
• Knowledge of modern deep learning, natural language processing, and reinforcement learning techniques.
• Strong software engineering skills, particularly around building performant systems and debugging.
• Must have experience with Python and PyTorch/Jax/Tensorflow, agentic frameworks (e.g., MCP), as well as feel at ease in picking up new programming languages, libraries, or APIs as tools as project needs evolve.
• Familiarity with cloud compute resources (e.g., GCP, AWS, Modal) and containerization (e.g., Docker).
• Strong collaboration and communication skills - our environment is small and collaborative, and we'd like you to thrive while working closely with others, sometimes with complementary skills/perspectives.
Preferred:
• Advanced degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience.
• Contributions to open-source ML or research libraries (e.g., spaCy, AllenNLP, transformers, langchain).
• Experience successfully operating at scale in a production setting.
• Experience in HPC settings.
• Curiosity about AI research.
Company:
We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen. Founded in 2014, the company is headquartered in Seattle, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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