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Machine Learning Researcher
4 weeks ago
About the Role
We are seeking a highly skilled Machine Learning Researcher to join our Inference team. As a key member of our team, you will be responsible for optimizing model inference processes, reducing response times, and enhancing throughput without sacrificing model performance.
Key Responsibilities
- Deploy and optimize large language models for inference in cloud and on-premises environments.
- Use tools and frameworks for model optimization and acceleration, such as ONNX, TensorRT, or TVM.
- Diagnose and resolve complex issues related to model performance and scalability.
- Have a strong understanding of the trade-offs involved in model inference, including hardware limitations and real-time processing requirements.
- Be proficient with PyTorch and familiar with infrastructure management tools like Docker and Kubernetes for deploying inference pipelines.
What We're Looking For
We are looking for a highly motivated and experienced Machine Learning Researcher who is passionate about deploying high-performance models for enterprise applications. If you have a strong background in machine learning, experience with large language models, and a keen eye for detail, we encourage you to apply.
Requirements
- Experience with deploying and optimizing large language models for inference.
- Proficiency in using tools and frameworks for model optimization and acceleration.
- Strong understanding of model inference trade-offs, including hardware limitations and real-time processing requirements.
- Proficiency with PyTorch and infrastructure management tools like Docker and Kubernetes.
What We Offer
We offer a dynamic and collaborative work environment, competitive compensation, and opportunities for professional growth and development. If you are passionate about machine learning and want to be part of a team that is pushing the boundaries of AI, we encourage you to apply.