Meltwater’s Consumer Intelligence AI Team is looking for a ML Research Intern who will be contributing on developing new innovative Natural Language Processing or Computer Vision features relying on the literature’s state of the art. Those features are meant to be integrated in our Consumer Intelligence platform meaning that your work will be used by our customers.

We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate engineers driven by enthusiasm for new technologies and excitement about making the difference for customers using AI.

Our team is organized over 3 objectives : innovation, research and production.

• Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products.

• Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks.

• Production: We make a point of designing and developing our algorithms in a software engineering fashion. Scalability is our goal. The models that we develop are running over billions of documents (text or image) per day.

You will take ownership of conducting research over a subject associated with Social Media data (billions of images and texts). Your results will help improve our products and could yield to publishing a paper. Depending on your profile and preferences, here are some examples of research subjects you might be working on:

• Explore Function Calling Agents with constraints on DSL and specific schemas generation tasks.

• Explore Large Language Models training to perform advanced data enrichments constrained to a user-defined scope and objective on text, image or multimodal.

• Explore multi-task Computer Vision with a single backbone (Large Vision Model) with adapters.

• Enhance RAG components and LLMs evaluation systems.

• A solid background in Statistics, Linear Algebra and Probability Theory.

• Strong understanding of Machine Learning techniques, their performance characteristics and their computational tradeoffs.

• A good background in Computer Science (data structures, algorithms, software design, etc.).

• Practical knowledge of Python or proficiency in one major programming language.

• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach.

• Passion for AI, with a constant drive to stay updated and ahead of the curve.

Along with interesting extra skills :

• Appetite for Software Engineering and R&D problem solving.

• Completion of relevant academic AI research project.

• Experience with the latest Computer Vision/Natural Language Processing state of the art (Vision Transformers, various LLMs architectures, PEFT methods, etc.) is a big plus.

1. Screening call with a TA member

2. First contact to meet some of the AI members.

3. Some AI team members who will guide you through a technical interview related to their day-to-day work.

4. Discussion with the Head of Engineering, Meltwater Consumer Insights division.