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Research Python Jobs in Seattle, WA (NOW HIRING)

Turing

Remote Python Developer

Seattle, WA · Remote

$200 - $300/hr

About Us: Based in San Francisco, California, Turing is the world's leading research accelerator ... Build agents and automated verification tools in Python that can verify the quality of code and ...

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Strong programming skills in 1 or more programming languages (including Python). 2 years or more of ...

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Strong programming skills in 1 or more programming languages (including Python). 2 years or more of ...

MindSource

Research Scientist

Seattle, WA · On-site

MindSource is looking for a Research Scientist to design and implement processes for evaluating and ... including Python). • 2 years or more of experience with machine learning and data science ...

Microsoft

Senior Research Software Engineer

Redmond, WA · On-site

$229K/yr

Overview Microsoft Research (MSR) is a multidisciplinary global organization working to create ... limited to, Python, Rust, C#, C++, Java, JavaScript OR equivalent experience. Preferred ...

Jobtailor

AI Research Scientist

Seattle, WA · On-site

$150 - $210/hr

Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX). * Strong foundation ... Research experience applying machine learning to biological, genomic, or other life‑science data ...

Chewy

Research Scientist II

Bellevue, WA

$125K - $190K/yr

Proficiency in Python or similar programming languages for data analysis and model development ... PhD in Operations Research, Data Science, Industrial Engineering, or a related field * Experience ...

New

Prime Team Partners

ML Research Scientist

Seattle, WA · On-site

$190/hr

Strong Python or C++ skills and deep experience with PyTorch, TensorFlow, or JAX * Ability to work across research and engineering in a fastmoving environment Bonus Skills * Research in model ...

Prime Team Partners

ML Research Scientist

Seattle, WA · On-site

$190/hr

Strong Python or C++ skills and deep experience with PyTorch, TensorFlow, or JAX * Ability to work across research and engineering in a fastmoving environment Bonus Skills * Research in model ...

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All JobsResearch Python JobsResearch Python Jobs in Seattle, WA

Research Python information

See Seattle, WA salary details

$15

$66

$98

How much do research python jobs pay per hour?

As of Aug 28, 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.

What are the key skills and qualifications needed to thrive as a Research Python developer?

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.

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.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

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 August 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Remote Python Developer

Seattle, WA • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

$200 - $300/hr

Contractor

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Us:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Ideal Background:
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • Several years of software engineering experience (3 years or more).
  • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
  • Experience building full-stack applications and deploying scalable software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (potential extensions based on performance and fit).
  • Location: Candidates must be based in the United States.

Evaluation Process:
  • The application process takes 15–30 minutes.
  • Completion of an AI video interview is required.