Elevate AI innovation with Cerebras Systems as a Senior Research Engineer focusing on Inference ML. Collaborate with leading experts to enhance language and vision models on our powerful AI architecture. In this pivotal role, you will drive advancements in machine learning by adapting cutting-edge models for optimal performance on Cerebras' unique hardware. You will work with ML researchers to innovate inference techniques such as speculative decoding and large-model pruning to achieve low-latency, high-throughput outcomes at scale. Your contributions will have significant implications for AI applications worldwide. Key Responsibilities:

- Design and optimize transformer architectures for NLP and computer vision
- Prototype novel inference algorithms leveraging Cerebras' capabilities




- Train models to convergence and analyze performance metrics
- Validate functional correctness of current models on Cerebras systems
- Optimize model code for maximum throughput and minimal latency

Requirements:

- 4+ years in software product testing or 3+ years in machine learning
- Strong programming skills in Python and/or C++
- Experience with Generative AI systems
- Evidence of research impact through publications
- Familiarity with ML frameworks like PyTorch or Transformers

Shape the future of AI by enhancing model performance and user experience at Cerebras. #J-18808-Ljbffr

📌 Senior Research Engineer (Toronto)
🏢 Cerebras Systems
📍 Toronto