Key Responsibilities:
- Develop and maintain APIs using NVIDIA Triton Inference Server for scalable deployment of Large Language Models (LLM).
- Implement and optimize pre-processing and post-processing pipelines tailored for LLMs to improve accuracy and efficiency.
- Work with Retrieval-Augmented Generation (RAG) frameworks to enhance the model’s response generation capabilities.
- Collaborate with data scientists, software engineers, and product teams to integrate and deploy ML solutions into production.
- Troubleshoot and resolve issues related to model inference, performance, and scalability
- Proven experience with NVIDIA Triton Inference Server and its APIs.
- Strong understanding of pre-processing and post-processing techniques for LLMs.
- Familiarity with Retrieval-Augmented Generation (RAG) and other LLM mechanisms.
- Proficient in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow).
- Strong problem-solving skills and ability to work in a fast-paced environment.
For positions in the Bay Area, we offer a base pay of $158,500 - $277,500 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.
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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.
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