ServiceNow

Senior Machine Learning Engineer

Santa Clara, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise SoftwareIndustries

Job Description

Position Overview

We are seeking a skilled professional to join our Digital Technology team, focusing on transforming IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. This role is crucial in delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century.

Company Description

ServiceNow, founded in San Diego, California in 2004, is a global market leader providing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform connects people, systems, and processes to help organizations work smarter, faster, and better. We are driven by the purpose to make the world work better for everyone.

Team Values

  • Humility and Mutual Support: Demonstrating humility and fostering a culture of mutual support.
  • Continuous Learning: Embracing continuous learning and knowledge sharing through collaboration, mentorship, and team-led learning sessions.
  • High-Quality Work: Delivering high-quality work that reflects our commitment to excellence, integrity, and thoroughness.
  • Positive Environment: Cultivating a positive and collegial work environment, valuing connection, camaraderie, and occasional team gatherings.

Responsibilities

In this role, you will:

  • Analyze data to gather insights.
  • Train, test, deploy, and maintain complex ML/AI/GenAI models at scale.
  • Build ML/AI-enabled applications on the ServiceNow platform.
  • Integrate ML/AI capabilities into the ServiceNow platform.
  • Help evolve the MLOps processes our team follows.
  • Design and build end-to-end proofs of concept and prototypes for products and solutions.

Qualifications

To succeed in this role, you will bring:

  • Typically requires a minimum of 5 years of related experience.
  • Strong analytical skills with a focus on data-driven decision-making.
  • Proficiency in Python and familiarity with its data science and machine learning libraries.
  • Demonstrated experience delivering scalable machine learning, deep learning, or generative AI solutions.
  • Solid understanding of MLOps practices, ideally with hands-on experience using Azure ML services.
  • Experience working with modern data platforms such as Snowflake.
  • Ability to quickly learn and apply new technologies, including the ServiceNow platform.
  • Strong grasp of software design and integration patterns, data modeling principles, and industry best practices.
  • A proven track record of successfully delivering complex, cross-functional projects.
  • Excellent debugging, testing, and problem-solving capabilities.

Compensation and Benefits

  • Salary: $158,500 - $269,500 (base pay, subject to change based on location and other factors)
  • Additional Compensation: Equity (when applicable), variable/incentive compensation, and potentially On Target Earnings (OTE) for sales positions.
  • Benefits: Health plans (including flexible spending accounts), 401(k) Plan with company match, Employee Stock Purchase Program (ESPP), matching donations, flexible time away plan, and family leave programs.

Employment Details

  • Employment Type: Full-time
  • Location Type: Remote

Additional Information

ServiceNow embraces a flexible and trusting approach to our distributed world of work, utilizing work personas (flexible, remote, or requiring).

Skills

Data Analysis
Machine Learning
AI/GenAI Models
Model Deployment
ML/AI Application Development

ServiceNow

Cloud-based platform for digital workflows

About ServiceNow

ServiceNow offers a cloud-based platform that helps businesses automate and manage their operations, improving efficiency and enhancing customer and employee experiences. The Now Platform includes applications for IT operations, customer service, human resources, and security operations, all accessible over the internet. Targeting large enterprises across various industries, ServiceNow operates on a software-as-a-service (SaaS) model, generating revenue through subscription fees and professional services. The company's goal is to streamline business processes and drive digital transformation for its clients.

Santa Clara, CaliforniaHeadquarters
2004Year Founded
$81.5MTotal Funding
IPOCompany Stage
Consulting, Consumer Software, Enterprise SoftwareIndustries
10,001+Employees

Benefits

Generous family leave
Flexible PTO
Matched Donations
Retirement benefits
Annual learning stipends
Paid volunteer time

Risks

Competitors like Nvidia and Google Cloud may outpace ServiceNow in AI advancements.
Over-reliance on AWS infrastructure could pose risks if AWS changes its strategy.
The departure of Era Software's co-founder may lead to strategic shifts within ServiceNow.

Differentiation

ServiceNow's Now Platform offers comprehensive digital workflow solutions across multiple business functions.
The company focuses on large enterprises, providing tailored solutions for diverse industries.
ServiceNow's SaaS model ensures steady recurring revenue through subscription fees.

Upsides

ServiceNow's partnership with AWS enhances AI-powered workflows, driving enterprise innovation.
The integration with Crowe Cyber Economic Risk Analyzer boosts ServiceNow's cybersecurity capabilities.
ServiceNow's AI-driven campaign with Idris Elba increases brand visibility and engagement.

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