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Research Python Jobs in Santa Clara, CA (NOW HIRING)

Strong programming skills in Python and experience with large-scale model training infrastructure. * Ability to balance research rigor with pragmatic engineering to deliver real-world impact. Why ...

Research Engineer

Union City, CA · On-site

$123K - $206K/yr

You will conduct research and submit patent applications while ensuring flawless execution of ... Experience with Python and MATLAB What Would Be Even Better * PhD in Engineering * Familiarity with ...

You will conduct research and submit patent applications while ensuring flawless execution of ... Experience with Python and MATLAB What Would Be Even Better * PhD in Engineering * Familiarity with ...

Semiconductor R&D Engineer

Milpitas, CA · On-site

$120K - $180K/yr

Develop and prototype algorithms in Python based on experimental data and engineering models ... Translate R&D findings into clear recommendations for product, process, or algorithm changes

... Python is a plus. Additional Information Vaccine mandate is in effect due to onsite nature of the ... NOTE - other temporary roles with this company: 2 Research Associate in Santa Monica, CA 1 Clinical ...

Showing results 41-60

Research Python information

See Santa Clara, CA salary details

$15

$68

$101

How much do research python jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for research python in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

Is Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

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 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.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

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 cities near Santa Clara, CA are hiring for Research Python jobs? Cities near Santa Clara, CA with the most Research Python job openings:
Infographic showing various Research Python job openings in Santa Clara, CA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $143,202 per year, or $68.8 per hour.

Full-time

Re-posted 12 days ago


Job description

Job Summary:
MBZUAI is a dedicated research lab focused on building and understanding foundation models. The Research Scientist in the Agents team will tackle research and engineering challenges to train advanced agentic language models, contributing to innovative AI solutions and collaborating with other teams to produce state-of-the-art models.
Responsibilities:
• Propose, prototype, and scale algorithms/systems to support agentic learning
• Develop new paradigms for agentic behavior that go beyond current practices
• Contribute to technical reports, research publications, and open-source software
• Collaborate with other teams to produce state-of-the-art foundation models
Qualifications:
Required:
• BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields
• 2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems
• Python and PyTorch development experience
• Experience in using LLM agents for your personal or professional use
• Experience in designing and implementing algorithms from scratch (for algorithms focus)
• Experience in dataset curation and generation (for data focus)
• Experience in building or contributing to training/serving infrastructure (for systems focus)
• Experience in designing and deep diving into evaluations (for evals focus)
Preferred:
• Expertise in one or more of PyTorch, Ray, Triton, CUDA C++
• Strong knowledge of literature on RL, LLM reasoning, and tool use
• Experience in training or using LLM agents for SWE tasks
• Deep understanding of reinforcement learning principles
• Experience implementing distributed learning algorithms
• Contributions to published research and/or open-source ML software
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.