Admetrics is at the forefront of transforming marketing strategies through innovative technology solutions. Our unified marketing analytics and integrated experimentation engine enable clients to make better data-driven decisions. In addition to our SaaS products, we offer consulting and data science services. We are firm believers in the power of experimentation, and we help clients establish a robust, agile experimentation process to drive continuous innovation.
We are currently seeking a motivated and talented Working Student to join our research team, focusing on the fusion of deep learning and tabular data. Specifically, you will contribute to the application and development of Large Language Models (LLMs) for analytical data applications.
- Collaborate with our research team to investigate the application of LLMs to tabular data
- Conduct literature reviews on the latest advancements in deep learning and tabular data fusion
- Develop and prototype novel algorithms and techniques to improve our current analytics capabilities
- Analyze and evaluate the performance of the developed models on real-world datasets
- Assist in the creation of technical reports and presentations to communicate your findings to both technical and non-technical stakeholders
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
- Strong knowledge of deep learning and machine learning algorithms, particularly in the context of tabular data
- Experience with programming languages such as Python and relevant libraries (e.g., Pandas, TensorFlow, PyTorch, or similar) is a plus
- Familiarity with the Langchain framework
- Excellent problem-solving, analytical, and communication skills
- Ability to work independently and collaboratively within a team environment
What we offer
- A unique opportunity to gain hands-on experience in cutting-edge deep-learning research
- A collaborative and supportive working environment with experienced researchers and data scientists
- Flexible working hours and a predominantly remote/home office-based position to accommodate your study schedule
- Competitive remuneration and a chance to grow with the company
Are you excited to contribute to the development of next-generation marketing analytics solutions?