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Research Python Jobs in California (NOW HIRING)

Skild AI

Research Engineer

San Mateo, CA · On-site

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation ...

Whissle AI

Research Intern

Mountain View, CA · Remote

Proficiency in using AI-assisted tools and Python. Basic code management skills * Clarity in ... Publish research at top AI conferences * Potential long-term position at WhissleAI

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

We apply deep learning research to large scale EEG datasets collected on affordable hardware to ... Strong programming skills in Python with ability to quickly learn new frameworks * Solid ...

Acceler8 Talent

Research Engineer

San Francisco, CA

Strong Python and deep learning framework experience (PyTorch preferred) * Ability to rapidly prototype and iterate in open-ended research environments * Experience in interpretability, alignment, or ...

NorthEastern

Research Technician

Oakland, CA

$22.85 - $31.42/hr

Programming experience in MATLAB, Python, and R. Position Type Research Additional Information ... Northeastern University considers factors such as candidate work experience, education and skills ...

Skild AI

Research Scientist

San Mateo, CA

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement learning ...

Northeastern University

Research Technician

Oakland, CA · On-site

$22.85 - $31.42/hr

Programming experience in MATLAB, Python, and R. Position Type Research Additional Information ... Northeastern University considers factors such as candidate work experience, education and skills ...

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Research Python information

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 California? For Research Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in California look for? The top searched job categories for Research Python jobs in California are:
What cities in California are hiring for Research Python jobs? Cities in California with the most Research Python job openings:
Research Python jobs near you

Senior Research Scientist, Google Cloud AI Research

Google

Sunnyvale, CA • On-site

$115K - $146K/yr

Full-time

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

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 190 rated software companies

Job description

Job Summary:
Google is a leading technology company known for its innovation and research initiatives. They are seeking a Senior Research Scientist to lead research projects, develop new technologies, and contribute to the wider research community while addressing AI challenges across various industries.
Responsibilities:
• Author research papers to share and generate impact of research results across function and in the research community.
• Help in growing research business by sharing research trends and best practices within the community.
• Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
• Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Qualifications:
Required:
• PhD in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience leading a research agenda.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
• Coding experience in Python, JavaScript, R, Java, or C++.
Preferred:
• 2 years of coding experience in Python, JavaScript, R, Java, or C++.
• 1 year of experience leading research efforts and influencing other researchers.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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