Staff Applied Research Scientist
| Company | ServiceNow |
|---|---|
| Location | Santa Clara, CA, USA |
| Salary | $173100 – $303000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- 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 with Instruction fine tuning and other fine-tuning techniques is a must.
- 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.
Responsibilities
- 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.
- 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.
- Work closely with various cross-functional teams to effectively identify and prioritize requirements, ensuring the language model aligns with stakeholder needs and expectations.
- 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.
Preferred Qualifications
- Experience in Pretraining of an LLM is preferred but not mandatory.
- Experience with Reinforcement learning is preferred but not mandatory.