Found Description
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 innovative 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 performance • Establish evaluation pipelines across domains • Debug diverse ML stack issues • Collaborate for scalable ML implementations • Design ML pipelines throughout LLM development
Requirements: • Bachelor’s or Master’s in Computer Science, Engineering • Minimum of 4 years in ML systems • Strong coding experience in Python • Familiarity with ML frameworks lik...
As a key member of Cerebras, your role will focus on translating innovative 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 performance • Establish evaluation pipelines across domains • Debug diverse ML stack issues • Collaborate for scalable ML implementations • Design ML pipelines throughout LLM development
Requirements: • Bachelor’s or Master’s in Computer Science, Engineering • Minimum of 4 years in ML systems • Strong coding experience in Python • Familiarity with ML frameworks lik...
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