‍About the Internship: Building AI Training Data and Benchmarks

Are you a curious and ambitious engineering or PhD student eager to gain deep expertise in AI? At Neuralk-AI, we're offering a unique opportunity to contribute to cutting-edge AI research by aggregating data, consolidating training datasets, and benchmarking state-of-the-art models. This internship is your chance to gain invaluable hands-on experience at the forefront of AI innovation while making a real impact in a dynamic startup environment! You will report to Alexandre Pasquiou and will be located in our Paris offices.

About Neuralk

Neuralk is a deep-tech company building the next generation of Foundation Models for Data Science. Our mission is to build the predictive layer for businesses, transforming data science from a series of one-off initiatives, stitched together across silos, overly bespoke, and dependent on a handful of specialists, into a durable capability: a scalable predictive infrastructure that continuously learns from an organization’s data and powers decisions across the enterprise.

Our product is a Data Science agent, powered by our Foundation Models, that assists data scientists throughout their workflow, from problem framing to robust, production-ready models. We focus on the hardest and most common data problems in companies: structured datasets describing customers, operations, risks or financial activity.

As an early-stage, well-funded AI startup, Neuralk builds on state-of-the-art research to solve concrete business challenges. We value clarity over complexity, strong fundamentals over hype, and fast iteration grounded in rigorous engineering. Our ambition is to redefine how predictive AI is built and used in organizations, at scale.

Joining Neuralk means working hard in a fast-moving, research-driven environment, with a high level of ownership and the opportunity to shape a core product at the intersection of machine learning, engineering and real-world impact.

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.

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.

Minimum Qualifications

• Educational Background:
  • Currently pursuing a Master’s or PhD in Computer Science, Data Science, AI, Engineering, or a related field.
• Technical Skills:
  • 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.
• AI Knowledge:
  • Interest in AI, particularly how structured data can be transformed into actionable insights.
  • Familiarity with machine learning frameworks like PyTorch.
• Soft Skills:
  • 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.

Preferred Qualifications

• 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.

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Why 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.