Research Scientist (Test Time Compute)

Posted about 2 months agoViewed

Requirements:

Python programming and ML frameworks (PyTorch, TensorFlow)

Experience with model optimization techniques (quantization, pruning, distillation)

MLOps and efficient model deployment

Hardware acceleration (GPU, TPU optimization)

Version control and collaborative development

Experience with large language models

Strong background in machine learning and systems optimization

Deep understanding of model compression and efficient inference techniques

Hands-on experience with modern ML frameworks and deployment tools

Experience with ML infrastructure and hardware acceleration

Track record of implementing efficient ML systems

Excellent programming skills (Python required, C++/CUDA a plus)

Responsibilities:

Design and implement novel architectures for efficient model inference

Develop frameworks for model compression and quantization

Research approaches to optimize test-time computation across different hardware

Create efficient protocols for distributed inference and resource management

Implement and test new ideas through rapid prototyping

Help design and implement efficient inference pipelines

Develop scalable solutions for model deployment and serving

Create tools and frameworks for performance monitoring and optimization

Collaborate with engineering team on implementation

Build proofs of concept for new optimization techniques

Work closely with engineering team to implement research findings

Mentor team members on advanced optimization techniques

Contribute to technical strategy and roadmap

Collaborate with external research partners when appropriate

Help evaluate and integrate external research developments

Apply

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