Become an impactful Applied Machine Learning Research Scientist at Cerebras. Leverage hands-on engineering skills for designing high-performance ML systems for real-world applications.As a key member of Cerebras, your role will focus on translating creative ML research into efficient systems. You'll engage in tasks that include debugging ML processes, developing training pipelines, and integrating reinforcement learning techniques. Your expertise will be vital in enhancing large language models on an advanced AI architecture.Key Responsibilities:Apply advanced post-training ML techniques for performanceEstablish evaluation pipelines across domainsDebug diverse ML stack issuesCollaborate for scalable ML implementationsDesign ML pipelines throughout LLM developmentRequirements:Bachelor's or Master's in Computer Science, EngineeringMinimum of 4 years in ML systemsStrong coding experience in PythonFamiliarity with ML frameworks like PyTorchUnderstanding of deep learning fundamentalsJoin Cerebras Systems and drive significant AI advancements through innovative deployment of machine learning models.#J-18808-Ljbffr

📌 Cerebras Applied Machine Learning Engineer (Boucherville)
🏢 Cerebras Systems
📍 Boucherville