Applied Research Scientist

1 week ago


Montréal, Canada ServiceNow Full time

**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.

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and emerging data and AI technologies to enable end-to-end, industry leading work experiences for customers. We are a group of researchers, applied scientists, engineers and product managers with a dual mission. We build and evolve the AI platform, and partner closely with business units to build products and end-to-end AI-powered work experiences for customers. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

**What you get to do in this role**:

- Research and propose appropriate models/techniques, as well as implement and train the models yourself, leveraging when appropriate classical machine learning methods as well as deep learning.
- Contribute to the design, implementation, and scaling of Document Intelligence as a key AI-first product in ServiceNow’s portfolio.
- Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.
- Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users.

**Qualifications** To be successful in this role you have**:

- 3 years of experience with classical machine learning algorithms, with an understanding or significant interest in the underlying theory of machine learning or related AI field.
- Experience with topics such as data preparation & cleaning, feature engineering, various classical machine learning techniques for classification and NLP.
- Hands on experience coding with Python or other stablished scripting languages for machine learning.
- Compelling storyteller who can communicate accurately.
- Understanding of the challenges of running a model on the varied and often noisy data that arises in a real-world setting.
- Experience with AI models/products life cycle and their different status.
- Getting things done attitude.
- Enthusiastic about staying up to date with AI literature and state of the art techniques of your field.

**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.

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



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