Member of Technical Staff

3 weeks ago


palo alto, United States Acceler8 Talent Full time

Shape the Future of Conversational AI


About Us

We are a public benefit corporation dedicated to harnessing advanced large language models to create an AI platform tailored for enterprise needs, with a particular focus on conversational AI. Our team is composed of friendly, innovative, and collaborative individuals committed to developing impactful AI solutions.


About the Role: Research Engineer (Inference)

As a key player in our commitment to deploying high-performance models for enterprise applications, you will be part of our inference team, which focuses on ensuring that these models operate efficiently and effectively in real-world scenarios. Research engineers will optimize model inference processes, minimize latency, and enhance throughput while maintaining model performance, all to ensure robust deployment in enterprise settings.


Key Responsibilities

  • Deploy and optimize large language models (LLMs) for inference in both cloud and on-premises environments.
  • Utilize model optimization and acceleration tools and frameworks, such as ONNX, TensorRT, or TVM.
  • Tackle complex challenges related to model performance and scalability.
  • Understand the trade-offs involved in model inference, including hardware limitations and real-time processing needs.
  • Demonstrate proficiency in PyTorch and be familiar with infrastructure management tools like Docker and Kubernetes for deploying inference pipelines.


What We Are Looking For

If you have a strong background in deploying and optimizing LLMs, enjoy solving intricate problems, and have a deep understanding of model inference challenges, we would love to hear from you Join us in building impactful enterprise AI solutions that will shape the future.



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