名企职位速递-Amazon Deep Learning Inference SDE
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Deep Learning Inference SDE
Palo Alto, CA
Job Description
As a deep learning platform developer, you will create systematic approaches to improve the performance of deep learning inference. You will help develop the compilation service and runtime for machine learning. The work offers an extremely broad set of opportunities to work as a full stack SDE with exposure to multiple AI applications, ML frameworks, models, compilers, systems SW, and various AI hardware including ARM, Intel, AWS Inferentia, and NVidia.
Join the Amazon SageMaker Neo team to help AWS customers deploy machine learning models in the cloud and on edge devices at scale in production. Work on an open source industry-standard compiler and runtime for machine learning that is already deployed on over 20 million devices.
Basic Qualifications
Basic Qualifications
• Master's Degree in Computer Science or Engineering
• 2+ years of software development experience in high performance computing, machine learning, big data analytics, or related areas
• 2+ years of software development experience in system security -- encryption, access control, auditing, trusted execution, selinux, container security, or related technologies
Preferred Qualifications
• Proven ability to develop and deliver an optimizing compiler for high level / domain specific programming language
• 4+ years technical leadership role in machine learning, HPC, system security, or related areas
• PhD in Computer Science
面
试
Describe the time when you let go of a short time goal for a long time goal.
What's the difference between the summaries of a Logistic Regression and SVM?
Describe linear regression vs. logistic regression.
Explain advantages and drawbacks of SVM.
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版权声明:以上内容为用户推荐收藏至CareerEngine平台,其内容(含文字、图片、视频、音频等)及知识版权均属用户或用户转发自的第三方网站,如涉嫌侵权,请通知[email protected]进行信息删除。如需查看信息来源,请点击“查看原文”。如需洽谈其它事宜,请联系[email protected]。