Staff AI Research Scientist (Natural Language Processing)

  • 6650 St. Urbain Street Suite 500, Montreal, QUEBEC, Canada
  • Full-time
  • Work Persona: Flexible
  • Region: AMS - North America and Canada
  • Employee Type: Regular

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.

With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're on the 2021 list of FORTUNE World's Most Admired Companies®.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Job Description

The ServiceNow Research team does both fundamental and applied research to futureproof AI-powered experiences for all users of the Now Platform®️. We make workflows smarter, AI workloads more efficient, and are committed to making socially responsible contributions to the AI community. Our innovation is centered on people: helping customers modernize their technology architecture, innovating new business models, improving experiences at work, and driving higher ROI from their technology investments.

The Human-Machine Interaction Through Language (HMITL) team at ServiceNow Research is exploring how natural language processing (NLP) and large language models (LLM) can revolutionize the way humans interact with software and knowledge systems. We are actively seeking collaborators and interns. The topics include but are not limited to:  

  • Task-oriented dialog and semantic parsing  
  • Interactive code generation  
  • Compute- and memory- efficient LLMs 
  • Retrieval-augmented LLMs 
  • Lightweight LLM adaptation for downstream tasks  
  • Using LLM for data synthesis 
  • Large context transformers, transformers with memory  
  • Controllable AI, chain-of-thought methods, integration with symbolic AI 
  • Trust-worthy natural language generation; combatting hallucinations 

Research scientists have the responsibility to set up their own research agenda within the topics of the research team, supervise interns, collaborate with their colleagues and the global AI community.  

Research scientists are also responsible to be on top of the latest trends and discoveries and of sharing their knowledge with their colleagues through internal communications and collaborative projects.  

Research scientists are also responsible to act as scientific advisors for other teams in need for their expertise and contribute to the products of the company.  

Qualifications

In order to be successful in this role, we need someone who has: 

  • A PhD in machine learning, deep learning, computer science, artificial intelligence or a related field.  
  • Preferred: 2 years of research experience post PhD.  
  • A getting-things done mindset with a desire to push the boundary of fundamental knowledge  
  • Experience in natural language understanding and optionally on multimodal representation learning, reinforcement learning, graphs, time series, computer vision, etc.  
  • Experience and mastery of scientific programming with Python and Numpy, and optionally also with Java, JavaScript, or R.  
  • Experience and mastery of deep learning programming in Pytorch and optionally with Tensorflow.  
  • Experience contributing to research communities and/or efforts including publishing papers at top international conferences such as (NeurIPS, ICLR, ICML, ACL, CVPR, etc.)  
  • Desire to work in a diversified team.  

When applying please provide:   

  • CV 
  • Cover letter 
  • Research statement 

Additional Information

ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

All new employees hired in the United States are required to be fully vaccinated against COVID-19, subject to such exceptions as required by law. If hired, you will be required to submit proof of full vaccination or have an approved accommodation, by your start date. Visit our Candidate FAQ page to learn more. 

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.

For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.

Work Personas

Work personas are categories that are assigned to employees depending on the nature of their work. Employees will fall into one of three categories: Remote, Flexible or Required in Office.

Required in Office

A required in office work persona is defined as an employee who is contracted to work from or aligned to a ServiceNow-affiliated office. This persona is required to work from their assigned workplace location 100% of the work week based on the business needs of their role.

Flexible

A flexible work persona is defined as an employee who is contracted to work from or aligned to a ServiceNow-affiliated office and will work from their assigned workplace location roughly 3 days/week or less (generally around 40-60% of the work week). Flexible employees may choose to work the remaining working time from their workplace location or home. Flexible employees are required to work within their state, province, region, or country of employment.

Remote

A remote work persona is defined as an employee who performs their responsibilities exclusively outside of a ServiceNow workplace and is not contracted or aligned to a ServiceNow-affiliated office, including those whose place of work (pursuant to their terms and conditions of employment) is their home. Remote employees are required to work within their state, province, region, or country of employment.
Privacy Policy