Machine Learning Engineer at ServiceNow
Chicago, Illinois, United States
🇺🇸 (Posted Jun 6 2018)
About the company
ServiceNow (NYSE: NOW) makes work, work better for people. Our cloud-based platform and solutions deliver digital experiences that help people do their best work.
ServiceNow is changing the way people work. With a service-orientation toward the activities, tasks and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before.
If you thought you knew about ServiceNow and what we do, take a look again!
Our products lines are diverse and robust. The Enterprise Cloud is dynamic, scalable to billions of transactions weekly, and global in scope and size.
As a part of the core Platform as a Service offering, the Intelligent Automation Development team is building the core machine learning/AI/predictive analytics technology that will power revenue generating business use-cases using customer data to predict desired outcomes automatically; hence delivering significant increase in productivity of business processes of ServiceNow customers. The team focuses on operationalizing machine learning and predictive analytics use cases for all ServiceNow business applications.
We employ only the brightest, innovative and most intuitive data scientists on the planet. We have offices in San Diego, San Francisco, Santa Clara and Hyderabad and work as a distributed team. Come join the Intelligent Automation team and make your mark in the most challenging problem area - helping customer derive the insights from their own data on ServiceNow platform for enterprise applications, each customer at a time!
What you get to do in this role:
Work on various ServiceNow client data sets and focus on solving applied problems in Natural Language Understanding, Text Mining, Anomaly Detection, Forecasting, etc., by leveraging statistical/mathematical concepts and core machine learning/AI tools and techniques.
Opportunity to learn, work and contribute to the innovative and enterprise grade ServiceNow’s Machine Learning and Artificial Intelligence engine as part of the overall Platform-as-a-Service offering.
Specifically, you will
Understand the business needs of Platform BU's customers
Translate the business needs into data requirements
Design and experiment (proof of concept), code, execute and iterate to retrieve business value/knowledge discovery from client’s data
Define and document success criteria/measures for the POC to prove the feasibility of the design experiment
Communicate and collaborate with appropriate teams and important stakeholders from the business units on the complete lifecycle of the experiment
Retrieve, clean/sanitize/normalize client’s data available in multiple data sources in ServiceNow instance
Choose an appropriate Statistical/ML/AI model, engineer the features and define appropriate model evaluation metrics.
Plan to generalize, scale and integrate the model at the platform level making it available as a core feature/functionality to all ServiceNow client base
Monitor, support, fix bugs, iterate and improve model performance to a desired level over a definitive time period.
Completely own the quality and metrics (response times, scalability etc) of the deployed model.
Develop innovative patentable ideas that ensures the competitiveness of this product within the domain of similar work being done in the industry
Lead and deliver key asks from internal constituents by example
Advance the natural language capabilities of the ServiceNow platform
Skills & requirements
To be successful in this role, we need someone who has:
2+ years of research experience with 1+ years of core machine learning/AI experience
Strong research background with deep expertise in building various machine learning/AI and statistical data models in Weka/Python/R/Java
Advanced degree in the field of data science/computer science/mathematics/statistics will be a definite plus.
Working experience in Natural Language Processing (NLP)/Natural Language Understanding (NLU) based solutions is highly preferred
Deep understanding of Statistics/Linear Algebra/Calculus and various optimization algorithms is a must.
Hands-on experience on various supervised/semi-supervised/unsupervised ML/AI algorithms like SVM, Random Forests, Clustering, Linear/Logistic Regression, Classification, PCA, Time Series Forecasting, Deep Neural Nets and Sequential speech/language models.
Strong leadership and influencing skills with an ability to crisply communicate/articulate model performance/experience results to Key stakeholder’s and wider audience with appropriate visualization techniques
Ardent data enthusiast with experience and interest in engaging with data science communities like Kaggle and various online forums.
Ability to translate business needs into data requirements
Experience working in Agile/Scrum environment is desired.
Experienced in various forms of decision sciences and optimization software development
Exceptional debugging, testing, and problem-solving skills
Self-starter, with quick learning curve
Strong written and verbal communication skills and an ability and interest to mentor other junior data scientists.
Working experience within product development teams is a must
Must have demonstrated work experience through multiple life cycles of a product within a single company.
Must have demonstrated capabilities to create patentable ideas
Instructions how to apply
see the website
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