Role overview
The ideal candidate has:
- Academic Foundation : Currently enrolled in a PhD program in Computer Science, Computational Linguistics, or related field, OR hold an MSc in a relevant discipline with demonstrated research experience (publications, thesis work, or research collaborations)
- Technical Expertise :
- Strong understanding of NLP and ML methodologies, including experience with Large Language Models
- Proven ability to design, implement, and evaluate ML experiments
- Proficiency in Python and relevant frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
- Research Skills :
- Experience working with unstructured datasets and applying data preprocessing techniques
- Data-driven approach to problem-solving and decision-making
- Practical Experience :
- Familiarity with version control systems (GitHub, GitLab)
- Exposure to cloud platforms (AWS, Azure, or Google Cloud)
- Collaboration : Strong communication skills and enthusiasm for teamwork
What you'll work on
- Drive Research : Lead experiments to answer a cutting-edge research questions, designing evaluations and analyzing results
- Innovate : Explore novel approaches and emerging technologies that advance TR's product portfolio
- Collaborate & Disseminate : Work with experienced research scientists and share your findings through internal presentations and external publications
Tags & focus areas
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