Senior Staff Machine Learning Engineer, ServiceNow
DevOps/Site Reliability Engineer
Office located in Santa Clara, CA
Cloud-based digital workflows for enterprises
Posted today
Cloud-based digital workflows for enterprises
1001+ employees
Posted today
Office located in Santa Clara, CA
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered
- 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
- Prompt Engineering: proficient in prompt engineering and developing LLM based features
- Fine tuning: experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
- 8+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health
- 6+ years of experience operating highly-available distributed workloads on Kubernetes following a DevOps approach
- 6+ years of development experience with Python, GoLang, Java or similar languages
- Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI)
- Strong working experience operating distributed systems built on Linux and J2EE
- Experience with software-defined networking, infrastructure as code and configuration management
- Experience building software for compliance and security in regulated environments
- Ability to drive outcome in projects with material technical risk
What the job involves
- We are a group of technology professionals and platform engineers 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
- Contribute to the design, development and implementation of infrastructure, platform, deployment and observability features that power AI workloads
- Collaborate with researchers, AI engineers, and infrastructure teams to ensure our GPU clusters perform efficiently, scale well, and remain reliable
- Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling
- Contribute to the execution of deployment and support activities for AI/ML developers
- Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
- Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users
- Experience with operating LLMs on NVIDIA GPUs
- Be a mentor for colleagues and help promote knowledge-sharing
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 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in 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 $15 billion, 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
- Commuter benefits
- Annual learning stipends
- Work from home opportunities
- Generous family leave
- Matched donations
- Flexible PTO
- 401(k) matching
- Paid volunteer time
Company HQ
Santa Clara, CA
Leadership
Fred Luddy
(Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
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