Senior Staff Machine Learning Engineer, ServiceNow
Agentic Application
$201.3-352.3k
+Equity
Office located in 1400 Terra Bella Avenue, 94043 Mountain View, CA
Cloud-based digital workflows for enterprises
Be an early applicant
Cloud-based digital workflows for enterprises
1001+ employees
Be an early applicant
$201.3-352.3k
+Equity
Office located in 1400 Terra Bella Avenue, 94043 Mountain View, CA
1001+ employees
Company mission
To transform IT to revolutionize the enterprise.
Role
Who you are
- Ability to tech lead other engineers and the e2e delivery of a project. Good communications and soft skills
- BS or a higher degree in computer science or related field
- 10+ years professional experience in scalable system development
- Strong product sense and a passion for building scalable web or conversational UI products
- Excellent cross-functional collaboration skills
- A constant thirst for learning and readiness to step out of your comfort zone
What the job involves
- Our product excels in using cutting-edge Machine Learning technologies, particularly Generative AI, for business automation and critical tasks
- As a conversation product engineer, you'll apply these technologies to impactful enterprise use cases
- Our product serves diverse user personas across the enterprise through a unified conversational and GUI interface across chat and web channels
- We're enterprise AI product pioneers with no fixed formula. You'll innovate on unsolved problems and expand customer perceptions of ML/GAI's business impact
- Our team's expertise, spanning decades of ML evolution, years of delivering enterprise AI solutions, and first principles thinking, underpins our product's success
- We seek high performance, a passion for enhancing the overall user impact, and a clear thinking framework for scalable, tailored experiences
- You'll collaborate with ML/GAI experts and cross-functional teams on innovative features at our fast-growing AI startup
- Collaborate closely with GAI conversational framework experts to grasp the latest technology capabilities and best practices
- Design and implement stakeholder and end-user product features using cutting-edge Agentic AI and technical approaches to deliver business value
- Work with PM, UX, and GTM teams to define, scope, and validate product deliverables
- Expand the product's reach to more customers, domains, and global markets, ensuring high quality and extensible engineering implementation
- Identify patterns and feedback to advance the Agentic AI framework further
- Develop into a well-rounded product engineer with the expertise to apply LLM technologies for impactful products and strategic influence
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
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 168 more jobs at ServiceNow