Reseach Intern

Job description

About

About the Internship

Are you a passionate and curious engineering student looking for an opportunity to kickstart your career in AI? At Neuralk-AI, we're seeking a motivated intern to help us aggregate and structure training datasets by developing innovative web scraping pipelines. This is your chance to dive into the world of cutting-edge AI research while gaining hands-on experience in a dynamic startup environment!

About Neuralk-AI

We are a fast-growing deeptech startup, leading the way in AI innovation. Our mission is to build the technical tools that enable companies to create AI applications capable of interacting seamlessly with their structured data (tabular or graph databases). At the heart of our work is a modern AI embedding platform that transforms structured data into vector representations for applications in classification, regression, clustering, and more.

Backed by significant funding (several millions), we combine state-of-the-art academic research with practical business applications to drive real impact. Our culture values simplicity, clear communication, and a constant drive for optimization.

At Neuralk, you’ll join a team of passionate individuals eager to learn, grow, and transform the AI industry. We believe in fostering a diverse, respectful, and inclusive environment and welcome candidates from all backgrounds to apply.

Co-founders: Alexandre Pasquiou (CSO) & Antoine Moissenot (CEO).

Job Description

Mission Highlights

As a Research Intern , you’ll play a pivotal role in shaping the foundation of our AI models. Your contributions will help ensure that Neuralk stays at the cutting edge of AI for structured data. This internship provides a perfect blend of research and practical implementation, where your work will directly influence our model training and evaluation pipelines.

You will report to the CSO of Neuralk and will be located in our Paris offices.

Role & Responsibilities

· 
Data Aggregation & Consolidation

·  Aggregate high-quality data from diverse sources to create robust training datasets.
·  Integrate training datasets into our training framework.
·  Develop tools and workflows to manage and monitor the quality and diversity of data.
· 
Model Benchmarking & Integration

·  Integrate and test existing state-of-the-art models within our benchmarking framework, comparing their performance on structured data.
·  Explore innovative approaches to enhance training efficiency and performance.
· 
Collaborative Research

·  Partner closely with Neuralk’s engineering and research teams (~5 people) to identify key challenges and opportunities.
· 
Contribute to internal discussions and brainstorming sessions that shape our R&D strategy.

Why you should join us ?

· 
Hands-on learning: Get practical experience in an exciting and rapidly evolving field.

· 
Mentorship: Work closely with experienced researchers and engineers who are eager to share their knowledge.

· 
Impactful work: Your contributions will directly support the development of cutting-edge AI models and platforms.

· 
Dynamic environment: Be part of a fast-growing startup where your ideas and efforts will make a tangible difference.

· 
Growth opportunities: Gain exposure to advanced AI concepts and methodologies, positioning yourself for a future career in machine learning.

Preferred Experience

· 
Currently pursuing a Master’s or PhD in Computer Science, Data Science, AI, Engineering, or a related field.

· 
Strong programming proficiency in Python (e.g., Pandas, NumPy, Sklearn).

· 
Experience with web scraping tools (e.g., BeautifulSoup, Scrapy, Selenium).

· 
Familiarity with data preprocessing workflows and tools.

· 
Interest in AI, particularly how structured data can be transformed into actionable insights.

· 
Familiarity with machine learning frameworks like PyTorch .

· 
Strong problem-solving mindset with the ability to work independently.

· 
Eagerness to experiment, learn, and contribute in a fast-paced environment.

· 
Clear and concise communication in English.

Bonuses

· 
Experience with large-scale data collection , integration, or analysis.

· 
Hands-on work with deep learning frameworks .

· 
Knowledge of version control systems like Git.

· 
Prior contributions to AI research or open-source projects.

Recruitment Process

Please submit your application using the following link to ensure it is reviewed by our team: https://tally.so/r/wodVQX .

Additional Information

·  Contract Type: Internship (Between 4 and 6 months)
·  Location: Paris
·  Occasional remote authorized