Senior Manager of Machine Learning Engineering, ServiceNow
$197.8-346.2k
+ Variable/incentive compensation + ESPP
Cloud-based digital workflows for enterprises
Posted today
Cloud-based digital workflows for enterprises
1001+ employees
Posted today
$197.8-346.2k
+ Variable/incentive compensation + ESPP
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- Proficient in prompt engineering and developing LLM based features
- Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
- Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
- 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
- 10+ years of related experience with a bachelor's degree; or 8 years and a master's degree; or a PhD with 5 years' experience; or equivalent work experience
- 4+ years of management and/or technical lead experience, proficiency in providing feedback to work group strategies, policies and plans
- Experience building new products that use challenging algorithms in hands of customers
- Proficient with methods of prompt tuning LLMs. Good to have some awareness of fine-tuning large language models, such as distillation, supervised fine-tuning and policy optimization
- Knowledge of core AI/ML techniques and algorithms
- Expertise in coding efficient, object-oriented, modularized and quality software. Knowledge of unit testing, profiling, and code tuning
What the job involves
- The Virtual Agent Science team is at the forefront of conversational AI, specializing in delivering intelligent, human-like interactions through virtual agents
- Our mission is to enhance customer experiences by advancing the state of the art in search and conversational science
- We tackle the entire lifecycle of conversational AI—from understanding user intent and retrieving relevant documents to crafting natural and context-aware personalized responses
- We collaborate closely with product teams to translate business requirements into robust, measurable solutions
- Our work includes developing and refining benchmarks for conversational systems, leveraging user feedback to continuously improve performance, and innovating in areas like semantic search, language modeling, and dialogue management
- By combining cutting-edge research with practical applications, we ensure our virtual agents are capable of retrieving the most relevant information, responding effectively to user queries, and gracefully handling scenarios where clarification or "no answer found" responses are required
- 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
- Creating and maintaining large-scale data processing pipelines that ensure that data is processed accurately, efficiently, and securely
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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