Senior Machine Learning Engineer

ServiceNow
West Palm Beach, FL, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Shift work

Tech stack

Unit Testing Profiling Software Design Patterns Machine Learning Object-Oriented Software Development Servicenow

Job description

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 and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Requirements

To be successful in this role you have:

  • Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that use challenging algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI/ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code tuning

About the company

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We’re building an AI-native culture where technology and talent are unstoppable together. And we’re just getting started., The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

  • Build the best cloud-based AI/ML solutions to power intelligent enterprise services
  • Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
  • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:55 min

Understanding the chore and effort of unit testing

Ewald Ewald · World Congress 2024

56 sec

Integrating automated approval workflows into the portal

Markus Eisele Markus Eisele · World Congress 2025

47 sec

Profiling native execution calls with async-profiler

Gonzalo Ortiz Jaureguizar Gonzalo Ortiz Jaureguizar · World Congress 2026 Europe

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

4:57 min

Missed edge cases in standard unit testing

Lars Hupel · World Congress 2023

2:27 min

Establishing a simulated technical environment for the workflow demo

Tobias Dunn-Krahn · LIVE

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