What you get to do in this role:
Who We Are
At ServiceNow, we’re transforming the way people work. With a focus on streamlining the tasks, activities, and processes that make up the daily work life, we empower the modern enterprise to operate faster and scale more efficiently than ever before. We’re innovative and disruptive, working hard but without taking ourselves too seriously. We embrace adaptability, constantly evolving with our customers' needs in mind. Passionate about our product, we live to deliver exceptional value to our users. A career at ServiceNow means embracing challenges and continuously pushing yourself to improve.
What you get to do in this role:
As a Senior Machine Learning (ML) Engineer, you’ll be a vital part of a global team building AI/ML solutions both within and outside the ServiceNow platform. We're seeking someone who thrives in a fast-paced, innovative environment and is excited about cutting-edge technology. You'll work within an agile team to design and develop solutions that enhance the employee experience at ServiceNow.
Key Responsibilities:
· Build world-class cloud-based AI/ML solutions to power intelligent services.
· Collaborate closely with a team of developers and product managers to deliver high-quality software.
· Partner with product owners to understand requirements and take ownership of your code from design to implementation, testing, and delivery.
· Mentor and coach staff on AI/ML best practices, fostering a culture of continuous learning and development.
· Collaborate with the product organization to stay informed about upcoming AI products and drive alignment between AI solutions and business goals.
· Work with cross-functional teams to develop innovative AI-driven solutions, integrating automated feature engineering and AutoML into core business processes.
· Lead and inspire innovation sprints and hackathons to cultivate creative AI-driven ideas and drive product improvements.
To be successful in this role you have:
To thrive in this role, you'll need:
Education:
· Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
· Master’s in AI, Machine Learning, Data Science, or related fields is preferred.
Experience:
· 5+ years of experience in enterprise architecture, data architecture, or AI/ML architecture roles.
· Proven experience in leading AI and machine learning initiatives in a complex enterprise environment.
· Extensive experience with AI platforms, cloud-based data architectures, and machine learning frameworks
· Expertise in JavaScript, Python, object-oriented programming (OOP), design patterns, and efficient algorithms.
· Proficiency in core AI/ML techniques and algorithms.
· Experience with the ServiceNow Platform and Now Assist Skill Kit.
· Familiarity with unit testing, profiling, and code optimization.
· Knowledge of vector databases, large language models (LLMs), fine-tuning, and platforms such as AWS SageMaker, Azure ML, Hugging Face, and LangChain/Langflow/Flowise.
Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
For positions in this location, we offer a base pay of $136,700 - $232,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.
Equal Opportunity Employer
ServiceNow is an equal 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. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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