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Research Python Jobs in Phoenix, AZ (NOW HIRING)

Advantest

AI Application Engineer

Chandler, AZ · On-site

As a member of the US AI R&D team, you will work closely with 93K R&D engineers, AI engineers, and ... Python-based automation and AI tooling * API-driven systems, version control (Git), and integration ...

Bespoke Labs

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Chandler, AZ · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Glendale, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Mesa, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Machine Learning Engineer

Chandler, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Phoenix, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Mesa, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Scottsdale, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Glendale, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Advantest

AI Application Engineer

Chandler, AZ · Hybrid

As a member of the US AI R&D team, you will work closely with 93K R&D engineers, AI engineers, and ... Python-based automation and AI tooling * API-driven systems, version control (Git), and integration ...

Viavi Solutions

Wireless Network Lab Intern

Chandler, AZ

$14.75 - $19.75/hr

Strong Python proficiency and familiarity with GPU-accelerated workflows. * Track record of research output (publications, preprints, or significant thesis work). * Ability to work independently on ...

Viavi Solutions

Wireless Network Lab Intern

Chandler, AZ · On-site

$14.75 - $19.75/hr

Strong Python proficiency and familiarity with GPU-accelerated workflows. * Track record of research output (publications, preprints, or significant thesis work). * Ability to work independently on ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

... using Python, SQL, and other tools. - Develop and deploy deep learning models to improve ... with the latest research and advancements in demand forecasting and machine learning.

Advantest

Application Engineer - Digital

Chandler, AZ · On-site

... perl/python) and adopt the latest AI solutions to assist customers in improving their process quality and time to market. * Train customers on new SW and HW solutions coming out of R&D and the ...

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All JobsResearch Python JobsResearch Python Jobs in Phoenix, AZ

Research Python information

See Phoenix, AZ salary details

$13

$58

$85

How much do research python jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for research python in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 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 Python jobs are in demand?

Python development roles such as software engineer, data analyst, data scientist, machine learning engineer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis tools, and proficiency in libraries such as Pandas and TensorFlow.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications, 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, 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.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for research roles in 2026 due to its versatility, extensive libraries, and widespread use in data analysis, machine learning, and automation. Proficiency in Python, along with knowledge of frameworks like Pandas or TensorFlow, continues to be valuable for research positions across various industries.

Which pays more, C++ or Python?

For a Research Python role, Python developers generally have a lower median salary compared to C++ developers, especially in fields like software engineering and systems programming. C++ skills are often associated with higher-paying positions due to its use in performance-critical applications, but salary can vary based on experience, industry, and location. Both languages are valuable, and salary differences depend on the specific job requirements and market demand.

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.
What are popular job titles related to Research Python jobs in Phoenix, AZ? For Research Python jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Phoenix, AZ look for? The top searched job categories for Research Python jobs in Phoenix, AZ are:
Research Python jobs near you

AI Application Engineer

Advantest

Chandler, AZ • On-site

Full-time

Posted 13 days ago

Job description


  • This role sits at the intersection of semiconductor test engineering and AI, driving the transformation of traditional test workflows into AI-powered systems.
  • As a member of the US AI R&D team, you will work closely with 93K R&D engineers, AI engineers, and data scientists to define, develop, and deploy next-generation AI capabilities for the V93000 platform.
  • As an AI Application Engineer, you will act as the bridge between semiconductor test engineering workflows and AI systems, enabling step-change improvements in productivity such as:
    • test program generation
    • debug and root cause analysis
    • knowledge-driven engineering workflows
  • You will lead customer engagements for AI solutions, serving as the primary interface for:
    • use case discovery
    • product definition
    • feedback and iterative improvement
    • rollout and adoption of new capabilities
  • You will collaborate with global R&D teams to influence product direction and strategy for AI-enabled test solutions.
  • You will design and execute pre-sales and proof-of-concept activities, including:
    • customer demos
    • benchmark studies
    • pilot deployments
  • You will stay current with advances in AI/ML (e.g., LLMs, RAG, agent workflows) and drive internal and external enablement through workshops and training.

Technical Environment
You will work in a hybrid environment combining:
  • Linux-based systems (e.g., Red Hat Enterprise Linux)
  • V93000 / SmarTest development ecosystem
  • Modern AI-assisted development workflows, including:
    • AI-enabled IDEs such as VS-Code, Cursor, GitHub Copilot, and Visual Studio Code
    • Markdown-driven prompt and agent design
    • Python-based automation and AI tooling
  • API-driven systems, version control (Git), and integration with AI platforms and services

Requirements
  • Degree in Electrical/Electronics Engineering or equivalent
  • Strong experience as an Application Engineer on the V93000 platform
  • Solid understanding of AI concepts applied to engineering workflows, such as:
    • LLMs
    • retrieval-augmented generation (RAG)
    • automation and code generation
  • Strong software skills (Java and Python), including:
    • test program development
    • scripting or tool development
  • Proven ability to translate customer problems into scalable technical solutions
  • Excellent customer-facing and pre-sales experience
  • Strong debugging, analytical, and problem-solving skills
  • Ability to lead cross-functional projects and drive outcomes
  • High ownership mindset: proactive, self-directed, and execution-focused
  • Comfortable working in global, cross-functional environments
  • Curiosity and drive to stay at the forefront of AI innovation
  • Willingness to travel internationally (20-30%)
  • Candidates throughout the United States are welcome to apply; remote work options may be available.

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