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Staff Applied Research Scientist

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest deep learning, and advanced techniques 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 driving significant innovations for our 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. Our projects help power an amazing range of solutions to our 9k+ enterprise customers around the world.

What you get to do in this role:

  • 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.
  • Keep up with and actively contribute to the latest AI research developments, applying new insights to current projects and propose advanced new techniques, that can help leapfrog existing ones. Work with other researchers and Applied Research scientists to validate and drive these innovations, eventually resulting in vastly improved models.
  • Contribute to the design, implementation, and scaling of LLM's as a key AI-first platform offering in ServiceNow’s portfolio. Develop and maintain detailed technical documentation that clearly captures the complexities of the language model, enabling easy understanding, efficient troubleshooting, and smooth future development. Similarly, document your codebase for efficient collaboration.
  • Work closely with various cross-functional teams to effectively identify and prioritize requirements, ensuring the language model aligns with stakeholder needs and expectations. Collaborate with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.
  • Oversee the entire project lifecycle, from research and development through to deployment and optimization. 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.

Qualifications

To be successful in this role you 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. 
  • 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.
  • 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.
  • Good publication record in top tier conferences such as ICLR, NeurIPS, ICML, ACL, EMNLP, AAAI, etc.
  • 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.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

For positions in this location, we offer a base pay of $173,100 - $303,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. 

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Average salary estimate

$238050 / YEARLY (est.)
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$173100K
$303000K

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What You Should Know About Staff Applied Research Scientist, ServiceNow

Join the innovative team at ServiceNow as a Staff Applied Research Scientist, where you'll be at the forefront of developing cutting-edge AI solutions that transform the way enterprises operate. Located in Santa Clara, California, at one of our amazing campuses, you'll work within the Advanced Technology Group (ATG), focusing on harnessing deep learning techniques to create intelligent software that enhances user experiences. You’ll confront real-world challenges head-on, applying your expertise to develop scalable solutions that genuinely impact over 9,000 enterprise customers. Your mission will be to drive significant innovations in Language Generation using our Large Language Models (LLMs), integrating your research into practical applications that improve daily workflows. Collaborate with a talented team of researchers, engineers, and product managers to iterate on existing models and explore advanced techniques that push the boundaries of AI technology. Good communication skills will also play a critical role in sharing your research findings with both technical and non-technical audiences, ensuring everyone understands the potential of LLMs. If you're passionate about AI and eager to shape the future, this position offers not only the chance to innovate but also to contribute to an inspiring organizational purpose of making the world work better for everyone.

Frequently Asked Questions (FAQs) for Staff Applied Research Scientist Role at ServiceNow
What responsibilities does a Staff Applied Research Scientist at ServiceNow have?

As a Staff Applied Research Scientist at ServiceNow, you will be involved in a variety of responsibilities including conducting research, developing AI and machine learning solutions, and leading projects through the entire lifecycle from conception to deployment. You'll work on improving Large Language Models (LLMs), contribute to technical documentation, and collaborate with cross-functional teams to ensure that the AI models meet stakeholder requirements.

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What qualifications are required for the Staff Applied Research Scientist position at ServiceNow?

To qualify for the Staff Applied Research Scientist role at ServiceNow, candidates need to have at least 6 years of relevant experience, with a Bachelor's degree, or a Master's degree with 4 years of experience, or a PhD with no work experience. Important skills include expertise in Python, experience with LLM fine-tuning techniques, and a strong publication record in top-tier AI conferences.

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What skills are essential for a Staff Applied Research Scientist at ServiceNow?

Key skills for a Staff Applied Research Scientist at ServiceNow include deep knowledge in AI and machine learning, proficiency in Python and object-oriented programming, and familiarity with transformer architectures. Ability to read and experiment with the latest AI research papers is also crucial, alongside effective communication skills to share insights with diverse stakeholders.

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How does ServiceNow support the professional growth of a Staff Applied Research Scientist?

ServiceNow is committed to the professional growth of its Staff Applied Research Scientists by encouraging continuous learning and research. You'll be able to engage with cutting-edge technologies and collaborate on innovative projects, while also having access to a wealth of resources for personal and professional development, including mentorship and training opportunities.

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What is the work environment like for a Staff Applied Research Scientist at ServiceNow?

The work environment at ServiceNow for a Staff Applied Research Scientist is collaborative and focused on innovation. You’ll work closely with a team of talented professionals in a flexible, trust-based work culture that values creativity and diversity. This dynamic setting allows for both independent research and collective brainstorming, enhancing the overall contribution to AI advancements.

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Common Interview Questions for Staff Applied Research Scientist
Can you explain your experience with deep learning and how you would apply it in the Staff Applied Research Scientist role at ServiceNow?

In an interview, you may discuss specific deep learning projects you've worked on, highlighting the methodologies used and the results achieved. Explain how your experience relates to the work at ServiceNow, particularly in terms of applying advanced techniques to develop and improve language models.

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What LLM fine-tuning techniques have you used in past projects?

When answering this question, detail your experience with various fine-tuning methods, such as instruction tuning or reinforcement learning. Describe the context of these applications, the challenges faced, and the outcomes achieved, emphasizing how this experience is applicable to ServiceNow's needs.

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Describe a time you contributed to a project from research to deployment.

Provide an example of a project where you played a significant role throughout its lifecycle. Discuss your contributions in research, implementation, and any collaborations with other teams. Highlight the final impact of the project, demonstrating your ability to oversee all phases effectively.

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How do you stay updated with the latest advancements in AI?

Illustrate your dedication to continuous learning by mentioning specific journals, conferences, or online platforms you follow. Share how you integrate new insights into your work and how you encourage knowledge sharing within your team at ServiceNow.

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What do you consider the biggest challenges in language model development?

Discuss the complexities of training and fine-tuning language models, such as dealing with biases or computational limitations. Offer insights into how you approach these challenges and propose potential solutions, reflecting your critical thinking and problem-solving skills.

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How do you ensure your research is communicated effectively to non-technical stakeholders?

Emphasize your ability to distill complex technical concepts into simpler terms. Mention past experiences where you successfully communicated research outcomes through presentations or written documentation, ensuring clarity and understanding among varied audiences.

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What experience do you have with Python and OOP principles?

Detail your experience coding in Python, emphasizing projects that required strong programming skills. Discuss your familiarity with OOP concepts and how you have utilized them to write efficient, maintainable code, which is crucial for the Staff Applied Research Scientist role.

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Can you share an example of a successful AI project you've led?

Provide an engaging overview of a specific AI project, outlining your leadership role, the methods used, and the successful outcomes. Focus on metrics or feedback that illustrate the project's impact, showcasing your project management and technical skills.

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What methodologies do you favor when validating AI models?

Discuss the validation techniques you prefer, such as cross-validation, A/B testing, or user feedback mechanisms. Explain how you ensure that the AI models are robust and deliver accurate results, reflecting your analytical approach.

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How do you approach collaborative projects across different teams?

Share your experience in working with multidisciplinary teams and how you ensure alignment in objectives and communication. Highlight examples where collaboration led to successful project outcomes, demonstrating your team-oriented mindset.

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CULTURE VALUES
Inclusive & Diverse
Mission Driven
Rise from Within
Diversity of Opinions
Work/Life Harmony
Empathetic
Feedback Forward
Take Risks
Collaboration over Competition
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Conferences Stipend
Paid Time-Off
Maternity Leave
Equity
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 18, 2025

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