Applied Machine Learning Scientist, NLP

at  Vector Institute

POSITION SUMMARY

As an Applied ML Scientist, NLP, you will be at the forefront of developing and implementing cutting-edge advancements in language models and natural language processing systems, enabling impactful applications of the latest research breakthroughs. This role offers a unique opportunity to lead applied research that bridges the gap between state-of-the-art Large Language Models (LLMs), Small Language Models (SLMs), and practical applications across critical sectors such as health, industry, and responsible AI.
You will work alongside leading ML researchers, data scientists, and AI engineering teams to design and implement solutions powered by LLMs and SLMs with a focus on scalability, efficiency, and real-world impact. This role calls for research capability, AI engineering expertise, and deep knowledge in Natural Language Processing (NLP) to advance the use of frontier ML systems including open-source tools and robust architectures that accelerate Vector’s mission.
The position encourages publishing applied research papers though the primary emphasis is on high-impact applications and real-world solutions. Candidates should have expertise in deploying ML systems including experience with the latest research and AI engineering approaches to optimize performance and enable flexible adaptable solutions. This role is an opportunity to lead and innovate in developing sophisticated NLP systems that push boundaries in technology and application.

• Research and implement state of the art NLP/Natural Language Understanding (NLU) techniques to solve real world problems;

• Work in collaboration with researchers, Applied ML Specialists, Vector’s professional staff, and collaboration partners to build demos, minimum viable products (MVP), and prototypes;

• Provide scientific advice regarding overall machine learning application strategies and roadmaps;
• Provide scientific oversight for Vector-led or co-led efforts to prepare specific datasets for machine learning research;
• Serve as the lead Vector scientific contributor for health, industry, and responsible AI projects including contributing to or leading the authoring of peer-reviewed research papers;
• Contribute to training sessions and other initiatives for Vector staff and stakeholders that help increase AI knowledge and the capacity of the system to recognize and act on opportunities to apply machine learning;
• Serve as an expert and facilitate identification of experts among the Vector research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and,
• Other duties as assigned.