
Machine Learning Engineer
2 weeks ago
The institute is seeking highly motivated individuals to contribute to its mission of developing efficient Large Language Models (LLMs).
Job OverviewOur team focuses on exploring novel techniques for knowledge representation, language understanding, and reasoning using LLMs. We are particularly interested in methods that enable smaller language models to perform complex reasoning across a range of downstream tasks.
Key Responsibilities:- Contribute to the development of efficient LLMs
- Collaborate with the research team to explore novel techniques for knowledge representation and language understanding
- Implement and evaluate experimental designs for complex reasoning tasks
We are looking for talented individuals with a strong foundation in Mathematics, Statistics, or Computer Science. Strong proficiency in Python programming is a must, as well as the ability to write clean, modular, and scalable code.
Prior experience in Natural Language Processing, Deep Learning, or work involving LLMs is highly desirable but not mandatory. Familiarity with DL frameworks such as PyTorch or TensorFlow is also highly desirable.
Ideal candidates will demonstrate a strong learning mindset, a keen interest in staying up-to-date with recent research developments in NLP, ML, and AI, and initiative in exploring original ideas and asking meaningful questions.
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