Intern Researcher - LLM Agents

Location

Markham, ON | Canada

Job description

Our team has an immediate 12-month Internship opening for a Researcher.

Responsibilities:

• Research and develop innovative models of LLM agents (decision-making, planning, reasoning, etc) with applications on open-world virtual environments.
• Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports.
• Contribute to the design, implementation, test, and maintenance of research and development frameworks.
• Ability to learn and grow in a collaborative research and development environment; communicate and develop solutions for complex learning problems.
• Keeping up-to-date on selected areas of ML (such as Transformers, State Space Models, and deep learning) and new advances in the NLP/AI field and bringing insights to the team.

What you'll bring to the team:

• Ph.D. in Computer Science, Electrical and Computer Engineering, Statistics, Applied Mathematics or a related technical field (or Master’s with related research experience and publications) with 2+ years of research and development experience.
• Good theoretical knowledge and methodological experience in the deep learning research-and-development cycle: literature review, model formulation and development, training, testing, monitoring, fine-tuning, and quantitative/qualitative analysis.
• Proficiency in a programming language (e.g. Python); Good understanding of basic data structures and computational algorithms; strong AI/ML coding skills; experienced in deep learning/machine learning frameworks (PyTorch and Tensorflow).
• Excellent team working, technical writing and presentation, analytical and problem-solving skills.
• Experience with LLMs, Transformer pipelines, and training and evaluation algorithms in NLP; related frameworks (Huggingface, DeepSpeed, PEFT).
• Good knowledge and experiences with various learning paradigms such as in-context learning, prompt tuning, and parameter efficient fine-tuning.
• Publication record at top-tier ML/AI conferences such as NeurIPS, ICML, ICLR, etc.

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