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Senior AI Research Scientist

2 months ago

Montreal, Quebec, Canada Servicenow Full time
About the Role

We are seeking a highly skilled Senior Applied Research Scientist to join our AI Trust & Governance Lab at ServiceNow. As a key member of our team, you will play a critical role in advancing the field of trustworthy AI and driving innovation in AI-powered experiences.

Key Responsibilities
  • Conduct applied research to futureproof AI-powered experiences, focusing on trustworthiness-related topics.
  • Work alongside other Trust & Governance applied researchers to develop and implement methods for identifying, understanding, and measuring existing and emergent risks and capabilities in AI systems.
  • Collaborate with cross-functional teams to strengthen and deepen their approach to trustworthy AI, including fundamental research, product, governance, and beyond.
  • Develop and maintain expertise in large, generative models, including training, risk detection, and measurement.
  • Communicate research findings to both technical and non-technical audiences, including stakeholders across the company.
Requirements
  • Master's degree with 2 years of relevant experience (preferably in industry) or a Ph.D. in a relevant field.
  • Passion for and demonstrated experience in trustworthiness-related topics.
  • Familiarity and experience working with a range of approaches to evaluating, benchmarking, and testing the performance and risks in large language and other generative AI models.
  • Familiarity with adversarial testing approaches, including but not limited to red teaming.
  • Experience using state-of-the-art generative models for inference and in fine-tuning and evaluating such models is an important asset.
  • Experience building and working with prototypes of models and measurement approaches, as well as a capacity to quickly validate whether a certain avenue is worth pursuing.
  • Experience conducting literature reviews and evaluating and implementing (sometimes from scratch) promising solutions identified.
  • Familiarity with popular deep learning frameworks and tools, such as PyTorch, Hugging Face models, DeepSpeed, etc.
  • Ability to work on large projects with self-directed initiatives.
  • Capacity to deal well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Ability to communicate research findings to a non-research audience.
  • A 'getting things done' mindset.