Senior Machine Learning Engineer

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 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

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

What you get to do in this role:

We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. 

Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them. 

• Facilitate and participate in the preparation of ML data sets and scoring processes 
• Develop and maintain a knowledge of real-time and snapshotted data sources from across the company, as well as Analytics team members responsible for various sources.
• Work with the Data Scientists to develop and implement key machine learning models
• Develop and support the ML portion of the Enterprise Data Platform strategy to maximize the distribution of ML predictions and recommendations, including API-based ML scoring and data warehouse-based access
• Incorporate workflows into ML Data Engineering processes, to automate, monitor, and produce alerts
• Implement performance tuning and query optimization
• Act as a resource to the Machine Learning team with regards to Data Lifecycle Management 
• Keep pace with latest technology across various databases, data lakes, warehouses etc
• Collaborate with Analytics team members to follow all documented architecture, design & deployment processes to ensure compliance with policies
• Design and develop scalable, reusable data models

Qualifications

To be successful in this role you have:

• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar. Master’s degree preferred
• 5+ years of experience with suite of data warehouse technologies (Snowflake, Big Data , Python, Azure ML, Azure ADLS)
• Experience with Feature Engineering and Feature Lifecycle management for features used in ML models
• Experience with Data architecture , Data governance , Data quality , Data Security
• Expertise in SQL is a must – Minimum 4 yrs of SQL exp is desired
• Knowledge of Sales , Marketing , Customer , Product domain is a plus
• Exposure to data science / ML is a plus
• Experience in ad-hoc data analysis, solution design, reporting & dashboard development
• Experience in BI technologies like Microsoft Power BI is a plus
• Expertise in working with cross functional teams across different geos
• Excellent communication skills, ability to work individually and in a broader geographically disperse team
• Exhibits prior and current technical expertise in analytics technologies and the ability to learn new technology

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For positions in the Bay Area, we offer a base pay of $151,900 - $258,100, plus equity (when applicable), variable/incentive compensation a