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

　　As a Sr. ML Engineer, you will contribute to features and products by improving the quality of our data processes, data storage, and data pipelines. You will be collaborating with other teams of data scientists, engineers, designers, product teams, and business stakeholders. The ideal candidate will have a desire to learn with a collaborative mindset. This position reports to the Lead Data Engineer, Employee Workflows Data Science.

　　What you get to do in this role:Working with Data Science and the Advanced Technology Group (ATG) teams to accelerate production and deployment times for ML services.Deployment and documentation of Java and Python APIs.ETL of data structures on MySQL.Designing DAG-based workflow frameworks for deploying and running APIs.Responsible for designing AB rollouts, logging, and encouraging best practices for deploying.Creating and maintaining data pipelines from various sources.Syncing data between applications, databases, logs, and other places.Implementing ETL and preprocessing data pipelines with a preference for automation.Remotely collaborate with a geographically distributed team and be willing to pitch in to perform other tasks when you see such opportunities.Qualifications

　　To be successful in this role you have:5+ years of experience as an ML Engineer.Very familiar with putting Python and Java scripts into cloud deployments. Additional experience with machine learning frameworks and applications preferred.SQL, data warehousing, and ETL pipeline tool experience.Hands on experience with building a modern data stack with AWS. (Step functions, Containers, ECS, Fargate, Redshift, Lambda, Glue, Batch, etc)Familiar with devops, CI/CD and using gitlab to collaborate in an Agile environment. Terraform experience a plus.Cloud computing and cloud database experience, preferably with AWS (Redshift, S3, ECS, Sagemaker, Lambda, Pipeline, etc).Experience working with agile development teams.Communication. Excellent oral and written communication skills.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 [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.

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