Staff Machine Learning Engineer, ServiceNow
$165.8-290.2k
+ Variable/incentive compensation
Office located in Santa Clara, CA
Cloud-based digital workflows for enterprises
Be an early applicant
Cloud-based digital workflows for enterprises
1001+ employees
Be an early applicant
$165.8-290.2k
+ Variable/incentive compensation
Office located in Santa Clara, CA
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- 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
- 6+ years of relevant experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD with no experience; or equivalent work experience
- Solid expertise in Python
- Solid Machine Learning / Deep Learning theoretical knowledge and hands-on experience
- Experience with LLM benchmarking and evaluation is required; experience generating synthetic data is a plus
- Ability to read and experiment with ideas from recent research papers
- High level of creativity, quick problem-solving abilities, and adaptability
- Effective communication skills to convey research findings to both technical and non-technical stakeholders, ensuring a clear understanding of the benefits and limitations of LLMs across the organization
What the job involves
- 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 next generation Large Language Models(LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers
- 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 9k+ enterprise customers around the world
- Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way
- Research, propose and implement appropriate models/techniques for LLM benchmarking
- Participate in data collection and synthetic data generation, and generate custom benchmarks to evaluate diverse LLMs capabilities
- Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software
- Contribute to the implementation of tools to facilitate LLMs evaluation and perform model / error analysis
- Develop innovative patentable ideas that ensure the competitiveness of this product within the domain of similar work being done in the industry
- Potentially write research papers in collaboration with our Research Group, to be published to the most notorious AI Conferences
- Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users
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 values
- Win as a team
- Innovate and execute
- Stay hungry and humble
- Deliver customer success
Company HQ
Santa Clara, CA
Articles
Leadership
Fred Luddy
(Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
Salary benchmarks
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Diversity, Equity & Inclusion at ServiceNow
- Enabling and empowering our people: We use rich learning programmes to equip employees with inclusive mindsets and skills, and we build equitable processes across our entire talent ecosystem
- Engaging our communities and allies: We make space to listen, share openly and engage in respectful dialogue. We extend into our communities through civic engagement, digital literacy and non‑profit support
- Building diverse talent and hiring inclusively: We grow stronger together by developing and advancing individual talent and by improving representation at all levels.
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