Research Engineer

4 weeks ago


Palo Alto, California, United States Acceler8 Talent Full time
About the Role

We are seeking a highly skilled Research Engineer to join our team as a Member of Technical Staff, focusing on optimizing and deploying large language models for real-world applications.

As a key member of our team, you will be responsible for optimizing AI models for enterprise deployment, ensuring they perform efficiently under varying conditions. Your work will focus on reducing latency, improving throughput, and maintaining model performance during inference.

Key Responsibilities:

  • Optimize and deploy large language models (LLMs) for inference across cloud and on-prem environments.
  • Utilize frameworks like ONNX, TensorRT, and TVM to accelerate model performance.
  • Troubleshoot complex issues related to model scaling and performance.
  • Collaborate with cross-functional teams to refine and deploy inference pipelines using PyTorch, Docker, and Kubernetes.
  • Balance competing demands, such as model accuracy and inference speed, in enterprise settings.

Our ideal candidate has experience with LLM inference, model optimization tools, and infrastructure management.

About the Company

Our AI studio is a leading innovator in developing and deploying highly effective language models. We are now focused on scaling our technology for enterprise use cases, with a strong foundation in model alignment and fine-tuning.

We offer a unique environment for those passionate about pushing AI boundaries, with a culture centered on collaboration, technical excellence, and a pragmatic approach to AI advancements.

What We Can Offer You
  • Competitive compensation aligned with your experience and contributions.
  • Unlimited paid time off and flexible parental leave.
  • Comprehensive medical, dental, and vision coverage.
  • Visa sponsorship for qualified hires.
  • Professional growth opportunities through coaching, conferences, and training.


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