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Research Python Jobs in Texas (NOW HIRING)

SEMRON

ML Research Scientist

Austin, TX · On-site

... Python and PyTorch, with the ability to rapidly prototype and evaluate research ideas • A research mindset: curiosity, rigor, and the ability to explore and discard ideas efficiently Preferred ...

Senseye

Research Data Analyst

Austin, TX · On-site

Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests ... A solid understanding of the research workflow: experimental design, hypothesis formulation ...

Senseye

Research Data Analyst

Austin, TX · On-site

Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests ... A solid understanding of the research workflow: experimental design, hypothesis formulation ...

Senseye

Research Data Analyst

Austin, TX · On-site

Use Python and AI-assisted coding tools to build analysis pipelines and statistical tests ... A solid understanding of the research workflow: experimental design, hypothesis formulation ...

Whiterabbit.ai

Fluency with a deep learning framework and Python Nice to Have Experience * Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML ...

Whiterabbit.ai

Fluency with a deep learning framework and Python Nice to Have Experience * Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML ...

Whiterabbit.ai

Fluency with a deep learning framework and Python Nice to Have Experience * Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML ...

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Research Python information

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

ML Research Scientist

SEMRON

Austin, TX • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
SEMRON is redefining what’s possible in AI hardware, and they are seeking an ML Research Scientist to design algorithms and quantization schemes for efficient inference on their analog in-memory compute platform. The role involves researching novel quantization methods, designing algorithms for matrix-vector multiplication, and collaborating with hardware engineers to define algorithmic requirements.
Responsibilities:
• Research and develop novel analog-aware quantization methods (PTQ and QAT) tailored to in-memory compute constraints
• Design mathematically principled matrix-vector multiplication algorithms that exploit sparsity, noise resilience, and non-idealities to improve hardware efficiency
• Collaborate with analog hardware engineers to define algorithmic requirements and guide co-development of compute primitives
Qualifications:
Required:
• PhD or equivalent research experience in machine learning, applied mathematics, or a related field
• Strong understanding of quantization, model optimization, and numerical methods for DNNs
• Proficiency in Python and PyTorch, with the ability to rapidly prototype and evaluate research ideas
• A research mindset: curiosity, rigor, and the ability to explore and discard ideas efficiently
Preferred:
• Contributions to quantization libraries or novel compression methods
• Publications in top-tier ML venues (NeurIPS, ICLR, ICML, etc.)
• Familiarity with analog computation challenges (noise, nonlinearity, limited precision, etc.) and the ability to abstract them into robust algorithms
• Experience collaborating with hardware teams or formulating algorithm-hardware co-design strategies
Company:
SEMRON develops a 3D-scaled AI inference chip, based on a new proven semiconductor device. Founded in 2020, the company is headquartered in Dresden, DEU, with a team of 11-50 employees. The company is currently Early Stage.

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