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Company Description
ServiceNow is making the world of work, work better for people. Our cloud‑based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and the enterprise. We’re growing fast, innovating faster, and making an impact on our customers’ and employees’ lives in significant and important ways. With over 6,900 customers, we serve approximately 80% of the Fortune 500, and we’re on the 2020 list of FORTUNE World’s Most Admired Companies.®
We’re looking for people who are ready to jump right in and help us build on our incredible momentum, our diverse, engaged workforce, and our purpose to make the world of work, work better.
Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.
Job Description
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.
Team
ServiceNow carries out fundamental research to push the limits of what AI can do for enterprises. You will be part of the ServiceNow Research group within the ServiceNow Advanced Technology Group.
Role
You will conduct fundamental research on deep learning and time series forecasting, as part of ServiceNow’s “Human Decision Support” research group. As part of tackling large-scale time series forecasting research questions, you will collaborate with other members of the group on topics such as causal inference, reinforcement learning, and planning. You will have a role of knowledge generation and transfer, as well of maintaining our scientific credibility within the academic community.
Qualifications
Successful candidates for this role will have the following skills and qualifications:
A PhD in machine learning, deep learning, computer science, artificial intelligence, or a related field.
A getting-things done mindset with a desire to push the boundary of fundamental knowledge.
Experience in time series forecasting including deep neural network approaches (recurrent & convolutional neural networks, transformers) and classical approaches (Gaussian processes, statistical or econometric methods). Optionally, experience in causal discovery/inference, reinforcement learning, operations research, planning, etc.
Experience and mastery of scientific programming with Python, NumPy, SciPy, Pandas, and related packages.
Experience and mastery of deep learning programming in PyTorch and, optionally, with TensorFlow.
Experience working with high-performance computing environments in scientific contexts.
Experience contributing to research communities and/or efforts including publishing papers at top international conferences such as (NeurIPS, ICML, ICLR, UAI, AISTATS, etc.)
Desire to work in a diversified team.
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.
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.
l 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.
