Staff Research Scientist/Engineer
Glattbrugg, Switzerland
Applications have closed
ServiceNow
ServiceNow allows employees to work the way they want to, not how software dictates they have to. And customers can get what they need, when they need it.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 proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.
Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.
Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.
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 latest advanced 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 with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
Team
ServiceNow Research carries out fundamental research to push the limits of what AI can do for enterprises. In turn, those learning are passed along to the rest of the ATG through our innovation pipeline. Here is a chance to be part of the Emerging Technologies Lab, a team that aims to investigate research breakthroughs in AI, validate that they are appropriate for use by ServiceNow then disseminate our learnings by equipping developers and scientists across the organization with new capabilities.
Role
Applied research is the process through which we apply fundamental concepts to the real world in all its imperfect and unpredictable glory. In this role, you will be an applied AI research expert who will work mainly in the field of model optimization: compression, distillation, quantization, etc. as applied mainly to natural language processing. At the scale at which ServiceNow operates, every percentage of increased efficiency translates to big savings in deployment of AI technologies. You will thrive in this role by being able to quickly understand the problem at hand, consider potential solutions, and validate your ideas. As a member of the Emerging Technologies Lab, good communication skills are a must to bridge the gap from fundamental research to early production work.
Qualifications
To be successful in this role you have:
· A MSc with 6 years of experience (preferably in industry) or a PhD in a relevant field with 3 years of industrial experience.
· At least one year of experience doing model optimization. This includes but is not limited to: distillation, compression, or quantization.
· Familiarity with PyTorch, Tensorflow or equivalent tools used for running computations on GPUs.
· Familiarity with doing literature research and implementing (sometimes from scratch) the best solution found.
· Experience in the development of AI prototypes and the ability to quickly validate whether a certain avenue is worth pursuing.
· Proficiency in producing prototype-level source code that balances correctness with efficiency.
· Experience using CUDA, nvprof, and other low-level tools to optimize the usage of computing resources is an asset.
· Experience in training large models that requires the use of dozens of GPUs across multiple nodes an asset.
· A proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
· A “getting things done” mindset.
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.
At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.
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 talent.acquisition@servicenow.com 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CUDA Industrial NLP PhD PyTorch Research TensorFlow
Perks/benefits: Flex hours
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