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Research Python Jobs in California (NOW HIRING)

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 ...

Goodfire is a research company focused on AI interpretability, aiming to build safe and powerful AI ... Python and ML frameworks such as PyTorch. • Strong writing and communication skills for ...

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 ...

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 ...

... Python for data analysis Global experience is a must, expertise in emerging market research is a plus Preferred Qualifications Experience researching consumer technology or hardware products (e.g ...

We're looking for an AI Research Scientist to join our team working on bleeding-edge gesture ... Strong programming skills in Python and experience with PyTorch or TensorFlow * Publication record ...

Position: Research Physics Expert Type: Contract Compensation: $80-$140/hour Location: Remote ... Author Python answer templates with auto-grading functions for symbolic or numerical answers.

Research Engineer

Carlsbad, CA · On-site

$95 - $125/hr

Senior Quantitative Research Analyst - Applied Analytics Location: Carlsbad, CA or Westwood, MA Job ... Build, deploy, and maintain Python-based tools and cloud-native services in Azure (leveraging Azure ...

Proficiency in programming languages relevant to AI research, particularly Python. * Strong familiarity with machine learning, especially in areas like computer vision, reinforcement learning ...

... in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow), with experience in ... Enterprise AI product & research company, building long-horizon reasoning models and agents.

Research Engineers at HRT work on a wide variety of projects. Examples include: * Designing highly ... Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit ...

Showing results 21-40

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 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 cities in California are hiring for Research Python jobs?

Cities in California with the most Research Python job openings:

Research Scientist (Research)

Applied Intuition

Sunnyvale, CA • On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to moving machines. The Research Scientist role involves conducting cutting-edge research in reinforcement learning and collaborating with teams to deploy algorithms in autonomous and robotic systems.
Responsibilities:
• Conduct research on reinforcement learning (RL) related topics including large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving
• Diving into fundamental topics on RL with broader applications and potential imitative behavior learning incorporation, and relevant topics such as reward learning
• Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences
• Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and robotics products
Qualifications:
Required:
• Strong research record in the fields of RL and VLA post-training for autonomous systems and robotics, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely-related fields
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong research skills and the ability to work both independently and collaboratively on projects
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
Preferred:
• Hands-on experience in at least one of the following fields: Self-play RL and imitation learning, behavior learning
• VLA post-training for autonomy or robotics
• Large-scale closed-loop RL in driving simulation
• Large-scale RL training infrastructure (Ray preferred)
Company:
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.