Job Description

DESCRIPTION

Are you ready to challenge the status quo for distributed deeplearning model training? Are you excited to lead and innovate deeplearning model training research and engineering to enable customers to train models easily and faster on AWS? Then, this job is for you. AWS AI group is hiring for a passionate Senior Engineer for SageMaker DataParallel Distributed training team to join us in writing the future of deeplearning model training.
Some of the problems we are working on includes:
Optimizing large scale (100+ billion parameters, 1000s of GPU devices) distributed deep learning model training.
Coming up with innovative solutions to communicate (gradients) during model training on AWS infrastructure.
Integrating these innovations to TensorFlow, PyTorch, Apache MXNet deeplearning libraries to enable customers to train the models out of the box.

Every day will bring new and exciting challenges on the job while you:
Learn and use advanced technologies - CUDA, BLAS libraries, MPI
Collaborate with internal engineering teams, leading technology companies around the world and open source community - TensorFlow, PyTorch, MXNet, Uber/Horovod, Intel/MKLDNN, NVIDIA/CUDA
Create innovative products, and see them launched in high volume production
This position within Deep Learning team presents a unique and rare opportunity to get in on the ground floor within a fast-growing Amazon SageMaker business and help shape the technology and AWS AI products. The right candidate will possess a technical background with experience in deeplearning and HPC.
Talk to us to learn more about amazing technical challenges we are solving for the deep learning community.

Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

BASIC QUALIFICATIONS

4+ years of professional software development experience
3+ years of programming experience with at least one modern language such as Java, C++, or C including object-oriented design
2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

PREFERRED QUALIFICATIONS

Master's Degree or P.hD in computer science, statistics, engineering, mathematics, or related field.
Specialization in any one of - machine learning, NLP, ASR, deep learning, computer vision, or related fields.
Experience with machine learning/deep learning frameworks and libraries (any of TensorFlow, PyTorch, MXNet, Chainer, Caffe, Scikit, etc.)
7 years of professional experience in the field.
Experience in High Performance Computing.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities
who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.