Machine Learning Engineer, ServiceNow
$139.7-158.9k
Cloud-based digital workflows for enterprises
Posted today
Cloud-based digital workflows for enterprises
1001+ employees
Posted today
$139.7-158.9k
1001+ employees
Company mission
To transform IT to revolutionize the enterprise.
Role
Who you are
- Master's degree in Computer Science, Machine Learning, or a related technical field, with 1 to 3 years of related experience
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
- Software engineering fundamentals. Strong command of data structures, algorithms, system design, APIs, concurrency, and testing. Java or JavaScript experience is a bonus
- Hands-on experience with Docker and Kubernetes
- ML foundations. Solid understanding of machine learning fundamentals and how LLMs and vision-language models are integrated into applications
- Computer vision and model evaluation. Understanding computer vision techniques and the ability to evaluate model quality independently, including designing test sets and choosing the right metrics
- Production mindset. Experience building, deploying, and operating services, with attention to scalability, observability, and reliability
- Hands-on multimodal experience. Projects, research, or work involving document understanding or multimodal models is a strong plus
- AI-native approach. Curiosity and a track record of using AI tools to improve engineering workflows
- Growth mindset. Eagerness to learn, take ownership, and grow in a collaborative team
What the job involves
- Build scalable ML services. Design, develop, and improve services and pipelines for document extraction, visual understanding, and agentic automation, integrating LLMs into production systems
- Deploy and operate on Kubernetes. Containerize, deploy, and scale services on Kubernetes, and contribute to CI/CD, observability, and alerting that keep them reliable
- Own quality and reliability in production. Write clean, tested code, build automated tests, monitor service health, and help investigate and resolve customer-facing issues such as performance limits and quality gaps
- Build product features end to end. Turn product requirements into well-designed features, from API design and data handling to performance tuning and release
- Collaborate across teams. Partner with product managers, engineers, designers and consuming product teams to define success criteria, understand tradeoffs, and communicate capabilities and limitations clearly
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7,700 customers, including 85% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in the upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15B, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Generous family leave
- Matched donations
- Annual learning stipends
- Flexible PTO
- Competitive retirement plan
- Paid volunteer time
Company HQ
Santa Clara, CA
Salary benchmarks
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