Senior Applied Research Scientist, ServiceNow

$151.9-258.1k

+ Variable/Incentive compensation

Python
Entry, Junior, Mid and Senior level
San Francisco Bay Area

Office located in Santa Clara, CA

ServiceNow

Cloud-based digital workflows for enterprises

Open for applications

ServiceNow

Cloud-based digital workflows for enterprises

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Open for applications

$151.9-258.1k

+ Variable/Incentive compensation

Python
Entry, Junior, Mid and Senior level
San Francisco Bay Area

Office located in Santa Clara, CA

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Company mission

To transform IT to revolutionise the enterprise.

Role

Who you are

  • 4+ years of related experience with a Bachelor's degree; or 2 years and a Master's degree; or a PhD without experience; or equivalent work experience
  • Expertise in Python, OOP, Design Patterns
  • Experience in Pretraining of an LLM is preferred but not mandatory
  • Experience with Instruction fine tuning and other fine tuning techniques is a must
  • Experience with Reinforcement learning is preferred but not mandatory
  • Experience with various transformer architectures (auto-regressive ,sequence-to-sequence etc)
  • Ability to read latest papers and experiment with the ideas
  • Creating and maintaining large-scale data processing pipelines that ensure that data is processed accurately, efficiently, and securely
  • Communicating your research findings to both technical and non-technical stakeholders, and working to ensure that the benefits and limitations of LLMs are clearly understood across the organization

What the job involves

  • The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers
  • 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 and propose appropriate models/techniques, as well as implement, train and evaluate the models yourself
  • Contribute to the design, implementation, and scaling of LLM's as a key AI-first platform offering in ServiceNow’s portfolio
  • Collaborate daily with a team of like-minded developers, applied research scientists, 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 & 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 headshot

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

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

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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